HK1246453B - Fingerprint identification method and related product - Google Patents

Description

Fingerprint recognition methods and related products

Technical Field

The present invention relates to the technical field of mobile terminals, and in particular to a fingerprint recognition method and related products.

Background Art

With the widespread adoption of mobile devices such as cell phones and tablets, almost every person in modern life has a cell phone. To ensure the security of their phones, current mobile phones generally use fingerprint recognition to unlock the screen. However, the fingerprint recognition process requires the user to press the fingerprint surface of the finger against the fingerprint recognition area of the mobile terminal. This process has a low recognition success rate in many special circumstances (for example, greasy fingers, wet fingers, peeling fingers, etc.).

Summary of the Invention

The embodiments of the present invention provide a fingerprint recognition method and related products, which can improve the success rate of fingerprint recognition.

A first aspect of an embodiment of the present invention provides a mobile terminal, including an application processor AP and a first fingerprint recognition module connected to the AP, wherein:

The first fingerprint recognition module is used to collect a first fingerprint image of a target finger using a first fingerprint recognition method;

The AP is used to verify whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold; and when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold, verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold; and when the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold, determine that the fingerprint recognition verification has passed.

A second aspect of an embodiment of the present invention provides a fingerprint recognition method, including:

Acquire a first fingerprint image of a target finger using a first fingerprint recognition method;

Verifying whether a degree of matching between the first fingerprint image and a first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold;

If the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold, verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold;

If the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold, it is determined that the fingerprint recognition verification is passed.

A third aspect of an embodiment of the present invention provides a mobile terminal, including a collection unit, a verification unit, and a determination unit, wherein:

An acquisition unit, configured to acquire a first fingerprint image of a target finger using a first fingerprint recognition method;

a verification unit, configured to verify whether a degree of matching between the first fingerprint image and a first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold;

The verification unit is further configured to verify whether the matching degree between the first fingerprint image and the first fingerprint template is greater than the preset threshold when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold;

The determining unit is configured to determine that the fingerprint recognition verification has been passed when the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold.

A fourth aspect of an embodiment of the present invention provides a mobile terminal, comprising an application processor AP, a first fingerprint recognition module connected to the AP, and a memory, wherein the memory is used to store one or more programs, and the one or more programs are configured to be executed by the AP, and the program includes a method for executing some or all of the steps described in any method of the second aspect of the embodiment of the present invention.

A fifth aspect of an embodiment of the present invention provides a computer-readable storage medium, which is used to store a computer program for electronic data exchange, wherein the computer program enables a computer to execute some or all of the steps described in any method of the second aspect of an embodiment of the present invention.

A sixth aspect of an embodiment of the present invention provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute some or all of the steps described in any method of the second aspect of an embodiment of the present invention.

In the fingerprint recognition method in the embodiment of the present invention, after the first fingerprint image is collected using the first fingerprint recognition method, the first fingerprint template corresponding to the first fingerprint recognition method is first used for matching. If the match is unsuccessful, the second fingerprint template corresponding to the second fingerprint recognition method is used for matching. The fingerprint templates corresponding to the two fingerprint recognition methods can be used for matching. Compared with the existing technology, the number of fingerprint recognition templates can be doubled, thereby improving the success rate of fingerprint recognition.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1a is a schematic diagram of the working principle of the optical fingerprint recognition module disclosed in an embodiment of the present invention;

FIG1b is a schematic diagram of the working principle of the capacitive fingerprint recognition module disclosed in an embodiment of the present invention;

FIG1c is a schematic structural diagram of a mobile terminal disclosed in an embodiment of the present invention;

FIG1d is a schematic diagram of a fingerprint recognition area disclosed in an embodiment of the present invention;

FIG1e is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention;

FIG1f is a schematic diagram of generating a fingerprint template disclosed in an embodiment of the present invention;

FIG1g is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention;

FIG2 is a schematic flow chart of a fingerprint recognition method disclosed in an embodiment of the present invention;

FIG3 is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention;

FIG4 is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention;

FIG5 is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention;

FIG6 is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention;

FIG7 is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention;

FIG8 is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention.

DETAILED DESCRIPTION

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different objects, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The mobile terminals involved in the embodiments of the present invention may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, as well as various forms of user equipment (UE), mobile stations (MS), terminal devices, etc. For the convenience of description, the above-mentioned devices are collectively referred to as mobile terminals.

The embodiments of the present invention are described in detail below.

In order to better understand the embodiments of the present invention, the working principles of optical fingerprint recognition and capacitive fingerprint recognition in the embodiments of the present invention are first introduced. Please refer to Figure 1a, which is a schematic diagram of the working principle of the optical fingerprint recognition module disclosed in the embodiment of the present invention. As shown in Figure 1a, it includes a touch screen 110 and an optical fingerprint recognition module 120. Among them, the optical fingerprint recognition module 120 includes an internal light source 121 and a detection device 122. The detection device 122 can be a charge coupled device CCD array. The optical fingerprint recognition module 120 may include at least one internal light source 121 and at least one detection device 122. The internal light source 121 can emit incident light, and the incident light is reflected by the area where the touch screen surface contacts the finger. The reflected light is received by the detection device 122 and converted into electrical signal data. The optical fingerprint recognition module 120 can identify which incident light rays are in contact with the ridges of the fingerprint (the ridges of the fingerprint) and which incident light rays are in contact with the depressions of the fingerprint (the valleys of the fingerprint) based on the principle of total reflection.

Specifically, please refer to the dotted enlarged area in Figure 1a. On the touchscreen display surface, the ridges of the fingerprint are in contact with the touchscreen display surface, while the valleys of the fingerprint are not. When the optical fingerprint recognition module 120 generates incident light that strikes the valleys of the fingerprint, the incident light strikes the surface of the touchscreen display that is in contact with the air. At this point, by designing the incident angle of the incident light so that the incident light undergoes total internal reflection (the refractive index of the touchscreen material is greater than 1, while the refractive index of air is approximately 1; setting the refractive index of the touchscreen material to be greater than the refractive index of air is sufficient). At this point, the optical fingerprint recognition module 120 can receive relatively strong totally reflected light. When the optical fingerprint recognition module 120 generates incident light that strikes the ridges of the fingerprint, the incident light strikes the surface of the touchscreen display that is in contact with the raised area of the fingerprint. At this point, the incident light strikes the raised area of the fingerprint, emitting diffuse reflection. At this point, the optical fingerprint recognition module 120 can receive relatively weak diffusely reflected light. The optical fingerprint recognition module 120 can form a fingerprint image based on the intensity of the received emitted light.

Please refer to FIG1b, which is a schematic diagram of the working principle of the capacitive fingerprint recognition module disclosed in an embodiment of the present invention. As shown in FIG1b, the capacitive fingerprint recognition module 110 includes a fingerprint cover 111, a capacitive fingerprint sensor 112, and a capacitive fingerprint chip 113. Among them, the capacitive fingerprint sensor 112 is used to detect the capacitance between the raised part of the fingerprint (the ridge of the fingerprint) and the fingerprint cover 111, and is used to detect the capacitance between the concave part of the fingerprint (the valley of the fingerprint) and the fingerprint cover 111. Since the distances between the ridge and valley of the fingerprint and the fingerprint cover 111 are different, according to the principle of flat capacitors, the capacitance generated is also different. After the finger presses the fingerprint cover 111, the capacitive fingerprint sensor 112 can detect the capacitance distribution on the fingerprint cover 111. The capacitive fingerprint chip 113 generates a fingerprint image based on the capacitance distribution on the fingerprint cover 111 detected by the capacitive fingerprint sensor 112.

The fingerprint recognition methods in Figures 1a and 1b can both be applied to mobile terminals. The fingerprint recognition of the embodiment of the present invention can be used in scenarios requiring security authentication, such as screen unlocking and mobile payment.

Please refer to Figure 1c, which is a structural diagram of a mobile terminal disclosed in an embodiment of the present invention. As shown in Figure 1c, the mobile terminal 100 includes an application processor (AP) 101 and a first fingerprint recognition module 102, wherein the AP 101 is connected to the first fingerprint recognition module 102 via a bus 103.

The first fingerprint recognition module 102 is configured to capture a first fingerprint image of a target finger using a first fingerprint recognition method.

In an embodiment of the present invention, when a fingerprint collection instruction is received, the user presses his finger on the first fingerprint recognition area, and the first fingerprint recognition module 102 collects the first fingerprint image in the first fingerprint recognition area using the first fingerprint recognition method. The first fingerprint recognition area can be located on the front cover (the front cover includes the display area and the non-display area) or the back cover of the mobile terminal 100. The shape of the first fingerprint recognition area can be any shape such as a circle, an ellipse, a quadrilateral (such as a rectangle), the shape of a finger fingerprint, etc., and the embodiment of the present invention does not make a sole limitation. Figure 1d is a schematic diagram of a fingerprint recognition area disclosed in an embodiment of the present invention. As shown in the left figure of Figure 1d, the first fingerprint recognition area is located in the non-display area, as shown in the middle figure of Figure 1d, the first fingerprint recognition area is located in the display area (display screen), and as shown in the right figure of Figure 1d, the first fingerprint recognition area is located in the back cover. Among them, the first fingerprint recognition method can be an optical fingerprint recognition method or a capacitive fingerprint recognition method. As shown in Figure 1d, the first fingerprint recognition module 102 can collect the first fingerprint image in the first fingerprint recognition area.

AP101 is used to verify whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold; and when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the above-mentioned preset threshold, verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold; and when the matching degree between the first fingerprint image and the second fingerprint template is greater than the above-mentioned preset threshold, determine that the fingerprint recognition verification has passed.

In the embodiment of the present invention, the fingerprint template is generated by extracting fingerprint feature information from one or more pre-collected fingerprint images and based on the extracted fingerprint feature information.

Specifically, AP101 verifies whether the degree of match between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold: AP101 extracts fingerprint features from the first fingerprint image and matches the extracted fingerprint features with the first preset fingerprint template corresponding to the first fingerprint recognition method. If the degree of match is greater than the preset threshold, AP101 determines that the match is successful and, after fingerprint recognition verification, proceeds with operations such as unlocking or payment. If the degree of match is less than or equal to the preset threshold, the match is determined to have failed. Optionally, if the degree of match is less than or equal to the preset threshold, the first fingerprint recognition module 102 may continue to capture the first fingerprint image, and AP101 may continue to match the first fingerprint image with the first preset fingerprint template. Optionally, if the degree of match is less than or equal to the preset threshold, AP101 may continue to verify whether the degree of match between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If the degree of match is greater than the preset threshold, AP101 determines that the match is successful and, after fingerprint recognition verification, proceeds with operations such as unlocking or payment.

In this embodiment of the present invention, the second fingerprint recognition method is different from the first fingerprint recognition method. The target finger may be the finger on which the user records the fingerprint. When it is detected that the first fingerprint image of the target finger captured using the first fingerprint recognition method fails to match the first fingerprint template corresponding to the first fingerprint recognition method, a second fingerprint template corresponding to the second fingerprint recognition method is used for matching.

By implementing the mobile terminal shown in FIG1c , fingerprint templates corresponding to the two fingerprint recognition methods can be used for matching. Compared with the prior art, the number of fingerprint recognition templates can be doubled, thereby improving the success rate of fingerprint recognition.

Optionally, AP101 is further configured to determine that the match fails and the fingerprint recognition verification cannot be passed when the number of failed matches of the first fingerprint image reaches a preset number. The preset number can be a positive integer, such as 1, 2, 3, etc.

Optionally, as shown in FIG. 1 e , the mobile terminal 100 further includes a second fingerprint recognition module 104 .

The first fingerprint recognition module 102 is further configured to record a first initial fingerprint image of a target finger using a first fingerprint recognition method.

AP101 is further configured to generate a first fingerprint template according to the first initial fingerprint image.

The second fingerprint recognition module 104 is configured to record a second initial fingerprint image of a target finger using a second fingerprint recognition method.

AP101 is further configured to generate a second fingerprint template according to the second initial fingerprint image.

In this embodiment of the present invention, the first fingerprint template is generated based on a first initial fingerprint image of the target finger recorded using a first fingerprint recognition method, and the second fingerprint template is generated based on a second initial fingerprint image of the target finger recorded using a second fingerprint recognition method. By recording images of the target finger using both the first and second fingerprint recognition methods, two fingerprint templates can be generated. Subsequent fingerprint verification can use both fingerprint templates, thereby increasing the number of fingerprint targets and improving the success rate of fingerprint recognition.

Please refer to FIG1f, which is a schematic diagram of generating a fingerprint template disclosed in an embodiment of the present invention. As shown in FIG1f, the initial fingerprint image is enhanced to obtain an enhanced fingerprint image, and the enhanced fingerprint image is refined to obtain a final fingerprint template.

Optionally, the second fingerprint recognition module 104 is further configured to acquire a third fingerprint image of the target finger using the second fingerprint recognition method when the matching degree between the first fingerprint image and the second fingerprint template is less than or equal to a preset threshold.

AP101 is further configured to verify whether the matching degree between the third fingerprint image and the second fingerprint template is greater than a preset threshold; and to determine that the fingerprint recognition verification is passed when the matching degree between the third fingerprint image and the second fingerprint template is greater than the preset threshold.

In an embodiment of the present invention, the second fingerprint recognition method is different from the first fingerprint recognition method. When it is detected that the matching degree between the first fingerprint image and the second fingerprint template is less than or equal to the preset threshold, that is, when the first fingerprint image fails to match, it indicates that the fingerprint recognition effect of the first fingerprint recognition module 102 is not good. At this time, the fingerprint recognition method is switched from the first fingerprint recognition method to the second fingerprint recognition method, and the second fingerprint recognition method is used to collect the third fingerprint image of the target finger. Optionally, the second fingerprint recognition module 104 can collect the third fingerprint image of the target finger using the second fingerprint recognition method in the second fingerprint recognition area. The second fingerprint recognition area can be located on the display screen, the back cover, or other areas of the mobile terminal. The second fingerprint recognition area does not overlap with the first fingerprint recognition area.

In an embodiment of the present invention, AP101 verifies whether the degree of match between the third fingerprint image and the second fingerprint template is greater than a preset threshold by extracting fingerprint features from the third fingerprint image and matching the extracted fingerprint features with the second preset fingerprint template. If the degree of match exceeds the preset threshold, AP101 determines that the match is successful and, through fingerprint recognition verification, performs operations such as unlocking and payment. If the degree of match is less than the preset threshold, AP101 determines that the match has failed, and the second fingerprint recognition module 103 continues to collect the third fingerprint image, and AP101 continues to match the collected third fingerprint image with the second preset fingerprint template.

The mobile terminal shown in FIG1e is implemented so that when the first fingerprint recognition method fails to match, the second fingerprint recognition method is automatically switched to. This allows for rapid selection of a suitable fingerprint recognition method for fingerprint recognition, thereby increasing the speed of fingerprint recognition.

Optionally, the first fingerprint recognition method is a capacitive fingerprint recognition method, and the second fingerprint recognition method is an optical fingerprint recognition method;

Alternatively, the first fingerprint recognition method is an optical fingerprint recognition method, and the second fingerprint recognition method is a capacitive fingerprint recognition method.

Generally speaking, when the user's fingers are dry, optical fingerprint recognition is less effective, while capacitive fingerprint recognition is more effective. When the user's fingers are wet or greasy, optical fingerprint recognition is more effective, while capacitive fingerprint recognition is less effective. For example, if the first fingerprint recognition method is capacitive fingerprint recognition and the second fingerprint recognition method is optical fingerprint recognition, when the user's fingers are wet or greasy, if the capacitive fingerprint recognition method is used at the beginning, the fingerprint recognition effect will be poor, the fingerprint image matching degree will be low, and the matching will easily fail. When the capacitive fingerprint image matching failure is detected, the optical fingerprint recognition method is used to collect the optical fingerprint image, and then verify whether the optical fingerprint image is a legitimate image. If the optical fingerprint recognition method is used at the beginning, recognition is more likely to succeed.

For another example, if the first fingerprint recognition method is optical and the second fingerprint recognition method is capacitive, when the user's finger is dry, initially using optical fingerprint recognition will result in poor fingerprint recognition, with a low fingerprint image match and a high probability of matching failure. If the optical fingerprint image fails to match, capacitive fingerprint recognition is used to capture a capacitive fingerprint image and then verify whether the capacitive fingerprint image is legitimate. Initially using capacitive fingerprint recognition will result in successful recognition.

Optionally, as shown in FIG1g , the mobile terminal further includes a display screen 105 .

The display screen 105 is also used to output a prompt message before the second fingerprint recognition module 104 uses the second fingerprint recognition method to collect the third fingerprint image of the target finger. The prompt message is used to prompt the user to switch from the first fingerprint recognition method to the second fingerprint recognition method.

In an embodiment of the present invention, when a failure to match the first fingerprint image is detected, the display screen 105 may output a prompt message to prompt the user to switch from the first fingerprint recognition mode to the second fingerprint recognition mode. In an embodiment of the present invention, when a user uses only one finger for fingerprint recognition, for example, when the user places only one finger in the first fingerprint recognition area and no fingerprint image is detected in the second fingerprint recognition area, the display screen 105 may prompt the user to place the finger in the second fingerprint recognition area, thereby facilitating the mobile terminal to use the second fingerprint recognition mode for fingerprint image acquisition. This embodiment of the present invention can prompt the user to switch fingerprint recognition modes, thereby improving the user experience.

Optionally, if the second fingerprint recognition area is located on the display screen 105, the display screen 105 is also used for the second fingerprint recognition module 104 to highlight the second fingerprint recognition area before collecting the second fingerprint image in the second fingerprint recognition area using the second fingerprint recognition method. The highlighting here can be highlighting the entire second fingerprint recognition area, or highlighting the boundary of the second fingerprint recognition area, or flashing, or displaying text information in the second fingerprint recognition area (for example, please press the fingerprint in this area) to prompt the user to press the fingerprint here.

Please refer to Figure 2, which is a flow chart of a fingerprint recognition method disclosed in an embodiment of the present invention. The method is applied to a mobile terminal including an application processor AP, a first fingerprint recognition module and a second fingerprint recognition module. As shown in Figure 2, the method includes the following steps.

201. A mobile terminal collects a first fingerprint image of a target finger using a first fingerprint recognition method.

Specifically, the mobile terminal may collect a first fingerprint image of the target finger through the first fingerprint recognition module.

202, the mobile terminal verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold. If so, execute step 204, otherwise execute step 203.

203 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If so, step 204 is executed; if not, step 205 is executed.

204. The mobile terminal determines that the fingerprint recognition verification is passed.

205. The mobile terminal determines that the fingerprint recognition verification cannot be passed.

Optionally, the first fingerprint recognition method is a capacitive fingerprint recognition method, and the second fingerprint recognition method is an optical fingerprint recognition method;

Alternatively, the first fingerprint recognition method is an optical fingerprint recognition method, and the second fingerprint recognition method is a capacitive fingerprint recognition method.

The implementation of the steps in FIG2 may be specifically referred to the device embodiments shown in FIG1a to FIG1g , and will not be described in detail here.

By implementing the method shown in FIG2 , fingerprint templates corresponding to two fingerprint recognition methods can be used for matching. Compared with the prior art, the number of fingerprint recognition templates can be doubled, thereby improving the success rate of fingerprint recognition.

Please refer to Figure 3, which is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention. The method is applied to a mobile terminal including an application processor AP, a first fingerprint recognition module and a second fingerprint recognition module. As shown in Figure 3, the method includes the following steps.

301. A mobile terminal records a first initial fingerprint image of a target finger in a first fingerprint recognition method.

Specifically, the mobile terminal may record a first initial fingerprint image of the target finger through the first fingerprint recognition module.

302. The mobile terminal generates a first fingerprint template according to the first initial fingerprint image.

303. The mobile terminal records a second initial fingerprint image of the target finger in a second fingerprint recognition method.

Specifically, the mobile terminal may record the second initial fingerprint image of the target finger through the second fingerprint recognition module.

304. Generate a second fingerprint template according to the second initial fingerprint image.

Step 301 and step 302 may be performed before step 303 and step 304, or after step 303 and step 304. Steps 301-304 are performed before step 305.

305. The mobile terminal collects a first fingerprint image of the target finger using a first fingerprint recognition method.

Specifically, the mobile terminal may collect the first fingerprint image of the target finger through the first fingerprint recognition module.

306 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold. If so, execute step 308 ; otherwise, execute step 307 .

307 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If so, execute step 308 ; otherwise, execute step 309 .

308. The mobile terminal determines that the fingerprint recognition verification is passed.

309. The mobile terminal determines that the fingerprint recognition verification cannot be passed.

The implementation of the steps in FIG3 may be specifically referred to the device embodiments shown in FIG1a to FIG1g , and will not be described in detail here.

Implementing the method shown in Figure 3 allows matching using fingerprint templates corresponding to the two fingerprint recognition methods. Compared to existing technologies, this doubles the number of fingerprint recognition templates, thereby improving the success rate of fingerprint recognition. By recording an image of the target finger using the first fingerprint recognition method and the second fingerprint recognition method, two fingerprint templates can be generated. Subsequently, during fingerprint recognition verification, both fingerprint templates can be used for verification, thereby increasing the number of fingerprint targets and improving the success rate of fingerprint recognition.

Please refer to Figure 4, which is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention. The method is applied to a mobile terminal including an application processor AP, a first fingerprint recognition module and a second fingerprint recognition module. As shown in Figure 4, the method includes the following steps.

401. The mobile terminal records a first initial fingerprint image of a target finger in a first fingerprint recognition method.

Specifically, the mobile terminal may record a first initial fingerprint image of the target finger through the first fingerprint recognition module.

402. The mobile terminal generates a first fingerprint template according to the first initial fingerprint image.

403 : The mobile terminal records a second initial fingerprint image of the target finger in a second fingerprint recognition method.

Specifically, the mobile terminal may record the second initial fingerprint image of the target finger through the second fingerprint recognition module.

404. Generate a second fingerprint template according to the second initial fingerprint image.

Step 401 and step 402 may be performed before step 403 and step 404, or after step 403 and step 404. Steps 401-404 are performed before step 405.

405 , the mobile terminal collects a first fingerprint image of the target finger using a first fingerprint recognition method.

Specifically, the mobile terminal may collect the first fingerprint image of the target finger through the first fingerprint recognition module.

406 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold. If so, execute step 408 ; otherwise, execute step 407 .

407 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If so, execute step 408 , otherwise execute step 409 .

408. The mobile terminal determines that the fingerprint recognition verification is passed.

409 , the mobile terminal collects a third fingerprint image of the target finger using the second fingerprint recognition method.

Specifically, the mobile terminal may collect the third fingerprint image of the target finger through the second fingerprint recognition module.

410 , the mobile terminal verifies whether the matching degree between the third fingerprint image and the second fingerprint template is greater than a preset threshold. If so, execute step 408 ; otherwise, execute step 411 .

411: The mobile terminal determines that fingerprint recognition verification cannot be passed.

The implementation of the steps in FIG4 can be specifically referred to the device embodiments shown in FIG1a to FIG1g , and will not be described in detail here.

Implementing the method shown in Figure 4 allows for matching using fingerprint templates corresponding to both fingerprint recognition methods. This doubles the number of fingerprint recognition templates compared to existing technologies, thereby improving the success rate of fingerprint recognition. If a match fails using the first fingerprint recognition method, it automatically switches to the second fingerprint recognition method, allowing for quick selection of the appropriate fingerprint recognition method for fingerprint recognition, thus increasing the speed of fingerprint recognition.

Please refer to Figure 5, which is a flow chart of another fingerprint recognition method disclosed in an embodiment of the present invention. The method is applied to a mobile terminal including an application processor AP, a first fingerprint recognition module, a second fingerprint recognition module, and a display screen. As shown in Figure 5, the method includes the following steps.

501. A mobile terminal records a first initial fingerprint image of a target finger in a first fingerprint recognition method.

Specifically, the mobile terminal may record a first initial fingerprint image of the target finger through the first fingerprint recognition module.

502. The mobile terminal generates a first fingerprint template according to the first initial fingerprint image.

503 , the mobile terminal records a second initial fingerprint image of the target finger in a second fingerprint recognition manner.

Specifically, the mobile terminal may record the second initial fingerprint image of the target finger through the second fingerprint recognition module.

504. Generate a second fingerprint template according to the second initial fingerprint image.

Step 501 and step 502 may be performed before step 503 and step 504, or may be performed after step 503 and step 504. Steps 501-504 are performed before step 505.

505. The mobile terminal collects a first fingerprint image of the target finger using a first fingerprint recognition method.

Specifically, the mobile terminal may collect the first fingerprint image of the target finger through the first fingerprint recognition module.

506 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold. If so, execute step 508 ; otherwise, execute step 507 .

507 , the mobile terminal verifies whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If so, execute step 508 , otherwise execute step 509 .

508. The mobile terminal determines that the fingerprint recognition verification is passed.

509. The mobile terminal outputs prompt information, where the prompt information is used to prompt the user to switch from the first fingerprint recognition mode to the second fingerprint recognition mode.

Specifically, prompt information can be output through the display screen during movement.

510. The mobile terminal collects a third fingerprint image of the target finger using the second fingerprint recognition method.

Specifically, the mobile terminal may collect the third fingerprint image of the target finger through the second fingerprint recognition module.

511, the mobile terminal verifies whether the matching degree between the third fingerprint image and the second fingerprint template is greater than a preset threshold. If so, execute step 508; if not, execute step 512.

512. The mobile terminal determines that the fingerprint recognition verification cannot be passed.

The implementation of the steps in FIG5 may be specifically referred to the device embodiments shown in FIG1a to FIG1g , and will not be described in detail here.

Implementing the method shown in Figure 5 allows for matching using fingerprint templates corresponding to both fingerprint recognition methods. This doubles the number of fingerprint recognition templates compared to existing technologies, thereby improving the success rate of fingerprint recognition. If a match fails using the first fingerprint recognition method, the second fingerprint recognition method is automatically switched to, allowing for quick selection of the appropriate fingerprint recognition method for fingerprint recognition, thus increasing the speed of fingerprint recognition. This embodiment of the present invention can output a prompt message to prompt the user to switch fingerprint recognition methods, thereby improving the user experience.

Please refer to Figure 6, which is a schematic diagram of the structure of another mobile terminal disclosed in an embodiment of the present invention. Mobile terminal 600 includes a first fingerprint recognition module 601, an application processor AP 602, and a memory 603. First fingerprint recognition module 601, application processor AP 602, and memory 603 may be connected via a communication bus 604. Memory 603 is used to store one or more programs, one or more of which are configured to be executed by AP 602. The programs include instructions for executing some or all of the method steps described in Figures 2 to 5 above.

By implementing the mobile terminal shown in FIG6 , the mobile terminal can use fingerprint templates corresponding to the two fingerprint recognition methods for matching. Compared with the prior art, the number of fingerprint recognition templates can be doubled, thereby improving the success rate of fingerprint recognition.

Please refer to Figure 7, which is a schematic diagram of the structure of another mobile terminal disclosed in an embodiment of the present invention. The mobile terminal 700 includes a collection unit 701, a verification unit 702 and a determination unit 703, wherein:

The acquisition unit 701 is configured to acquire a first fingerprint image of a target finger using a first fingerprint recognition method.

The verification unit 702 is configured to verify whether a matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold.

The verification unit 702 is further configured to verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than a preset threshold when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to a preset threshold.

The determining unit 703 is configured to determine that the fingerprint recognition verification has been passed when the matching degree between the first fingerprint image and the second fingerprint template is greater than a preset threshold.

The implementation of the mobile terminal can refer to the method embodiments shown in Figures 2-5, and the repeated parts will be omitted.

By implementing the mobile terminal shown in FIG7 , the mobile terminal can use fingerprint templates corresponding to the two fingerprint recognition methods for matching. Compared with the prior art, the number of fingerprint recognition templates can be doubled, thereby improving the success rate of fingerprint recognition.

The present invention also provides another mobile terminal, as shown in FIG8 . For ease of explanation, only the portion relevant to the present invention is shown. For specific technical details not disclosed, please refer to the method section of the present invention. The mobile terminal can be any terminal device including a mobile phone, tablet computer, PDA (Personal Digital Assistant), POS (Point of Sales), in-vehicle computer, etc. Taking a mobile phone as an example:

FIG8 is a block diagram illustrating a portion of the structure of a mobile phone related to a mobile terminal provided by an embodiment of the present invention. Referring to FIG8 , the mobile phone includes components such as a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a display unit 940, a sensor 950, an audio circuit 960, a wireless fidelity (WiFi) module 970, a processor 980, and a power supply 990. Those skilled in the art will appreciate that the mobile phone structure shown in FIG8 does not limit the mobile phone, and the mobile phone may include more or fewer components than shown, or may combine certain components, or have different component arrangements.

The following is a detailed introduction to the various components of the mobile phone in conjunction with Figure 8:

The RF circuit 910 can be used for receiving and sending information. Typically, the RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 910 can also communicate with a network and other devices via wireless communication. The above-mentioned wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

Memory 920 can be used to store software programs and modules. Processor 980 executes the various functional applications and data processing functions of the mobile phone by running the software programs and modules stored in memory 920. Memory 920 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application required for a function; the data storage area may store data generated based on the use of the mobile phone. Memory 920 may also include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state memory device.

The input unit 930 can be used to receive input digital or character information, and to generate key signal input related to the user settings and function control of the mobile phone. Specifically, the input unit 930 may include a fingerprint recognition module 931, a touch screen 932 and other input devices 933. The fingerprint recognition module 931 can collect the fingerprint data of the user thereon. The fingerprint recognition module 931 may include an optical fingerprint recognition module and a capacitive fingerprint recognition module. In addition to the fingerprint recognition module 931, the input unit 930 may also include other input devices 932. Specifically, other input devices 932 may include but are not limited to one or more of a touch screen, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), a trackball, a mouse, a joystick, etc.

The display unit 940 can be used to display information input by the user or information provided to the user, as well as various menus of the mobile phone. The display unit 940 may include a display screen 941. Optionally, the display screen 941 may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like. Although in FIG8 , the fingerprint recognition module 931 and the display screen 941 are used as two independent components to implement the input and output functions of the mobile phone, in some embodiments, the fingerprint recognition module 931 and the display screen 941 can be integrated to implement the input and playback functions of the mobile phone.

The mobile phone may also include at least one sensor 950, such as an optical sensor 951, a motion sensor 952, and other sensors. Specifically, the optical sensor 951 may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display screen 941 according to the brightness of the ambient light, and the proximity sensor can turn off the display screen 941 and/or the backlight when the mobile phone is moved to the ear. As a type of motion sensor 952, the accelerometer sensor can detect the magnitude of acceleration in all directions (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that identify the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors that the mobile phone can also be configured with, such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., they will not be described here.

Audio circuit 960, speaker 961, and microphone 962 provide an audio interface between the user and the phone. Audio circuit 960 converts received audio data into electrical signals and transmits them to speaker 961, which then converts them into sound signals for playback. Microphone 962, on the other hand, converts collected sound signals into electrical signals, which are then received by audio circuit 960 and converted into audio data. After processing by audio data playback processor 980, the audio data is transmitted via RF circuit 910 to, for example, another phone, or played to memory 920 for further processing.

WiFi is a short-range wireless transmission technology. A mobile phone uses WiFi module 970 to help users send and receive emails, browse the web, and access streaming media, providing wireless broadband Internet access. Although FIG8 shows WiFi module 970, it is understood that it is not a required component of the mobile phone and can be omitted as needed without changing the essence of the invention.

The processor 980 is the control center of the mobile phone, connecting all parts of the mobile phone using various interfaces and circuits. By running or executing software programs and/or modules stored in the memory 920 and accessing data stored in the memory 920, it performs various functions of the mobile phone and processes data, thereby providing overall monitoring of the mobile phone. Optionally, the processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor and a modem processor, wherein the application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor 980.

The mobile phone also includes a power supply 990 (such as a battery) for supplying power to various components. Preferably, the power supply can be logically connected to the processor 980 through a power management system, thereby managing charging, discharging, and power consumption management functions through the power management system.

The mobile phone also includes a camera 9100, which may include a front camera, an iris camera, and a rear camera.

Although not shown, the mobile phone may further include a Bluetooth module, a flash, etc. The flash may include a front flash and a rear flash. The front flash may provide fill light for the front camera, and the rear flash may provide fill light for the rear camera. The front flash may include a front visible light flash and a front infrared flash. The front visible light flash is used to provide fill light for the front camera, and the front infrared flash is used to provide fill light for the iris camera.

An embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any fingerprint recognition method described in the above method embodiments.

An embodiment of the present invention further provides a computer program product, comprising a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to execute some or all of the steps of any one of the fingerprint recognition methods described in the above method embodiments.

It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should be aware that the present invention is not limited by the order of the actions described, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, and other media that can store program code.

Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

The embodiments of the present invention are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims (13)

1. A mobile terminal, characterized in that it includes an application processor (AP) and a first fingerprint recognition module connected to the AP, wherein: The first fingerprint recognition module is used to acquire a first fingerprint image of the target finger using a first fingerprint recognition method; The AP is used to verify whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold; and to verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold; and to determine that the fingerprint recognition verification is passed when the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold. The AP verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold, specifically as follows: The AP extracts fingerprint features from the first fingerprint image, matches the extracted fingerprint features with a first preset fingerprint template corresponding to the first fingerprint recognition method, and verifies whether the matching degree is greater than a preset threshold. 2. The mobile terminal according to claim 1, characterized in that it further includes a second fingerprint recognition module connected to the AP. The first fingerprint recognition module is also used to record a first initial fingerprint image of the target finger in the first fingerprint recognition method; The AP is further configured to generate the first fingerprint template based on the first initial fingerprint image; The second fingerprint recognition module is used to record a second initial fingerprint image of the target finger using the second fingerprint recognition method; The AP is also used to generate the second fingerprint template based on the second initial fingerprint image. 3. The mobile terminal according to claim 2, characterized in that, The second fingerprint recognition module is further configured to acquire a third fingerprint image of the target finger using the second fingerprint recognition method when the matching degree between the first fingerprint image and the second fingerprint template is less than or equal to the preset threshold. The AP is further configured to verify whether the matching degree between the third fingerprint image and the second fingerprint template is greater than the preset threshold; and to determine that fingerprint recognition verification is passed when the matching degree between the third fingerprint image and the second fingerprint template is greater than the preset threshold. 4. The mobile terminal according to claim 3, wherein the mobile terminal further includes a display screen. The display screen is also used to output a prompt message before the second fingerprint recognition module acquires the third fingerprint image of the target finger using the second fingerprint recognition method. The prompt message is used to prompt the user to switch from the first fingerprint recognition method to the second fingerprint recognition method. 5. The mobile terminal according to any one of claims 1-4, characterized in that, The first fingerprint recognition method is capacitive fingerprint recognition, and the second fingerprint recognition method is optical fingerprint recognition. Alternatively, the first fingerprint recognition method may be an optical fingerprint recognition method, and the second fingerprint recognition method may be a capacitive fingerprint recognition method. 6. A fingerprint recognition method, characterized in that it comprises: The first fingerprint image of the target finger is acquired using the first fingerprint recognition method; Verify whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold; If the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold, verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold. If the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold, it is determined that the fingerprint recognition verification has been passed; The step of verifying whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold includes: Extract fingerprint features from the first fingerprint image, match the extracted fingerprint features with the first preset fingerprint template corresponding to the first fingerprint recognition method, and verify whether the matching degree is greater than a preset threshold. 7. The method according to claim 6, characterized in that, before acquiring the first fingerprint image of the target finger using the first fingerprint recognition method, the method further includes: The first initial fingerprint image of the target finger is recorded using the first fingerprint recognition method; The first fingerprint template is generated based on the first initial fingerprint image; The second initial fingerprint image of the target finger is recorded using the second fingerprint recognition method; The second fingerprint template is generated based on the second initial fingerprint image. 8. The method according to claim 7, characterized in that the method further comprises: If the matching degree between the first fingerprint image and the second fingerprint template is less than or equal to the preset threshold, the third fingerprint image of the target finger is acquired using the second fingerprint recognition method; Verify whether the matching degree between the third fingerprint image and the second fingerprint template is greater than the preset threshold; If the matching degree between the third fingerprint image and the second fingerprint template is greater than the preset threshold, the step of determining that the fingerprint recognition verification has been passed is executed. 9. The method according to claim 8, characterized in that, before acquiring the third fingerprint image of the target finger using the second fingerprint recognition method, the method further includes: Output a prompt message, which prompts the user to switch from the first fingerprint recognition method to the second fingerprint recognition method. 10. The method according to any one of claims 6-9, wherein the first fingerprint recognition method is a capacitive fingerprint recognition method, and the second fingerprint recognition method is an optical fingerprint recognition method; Alternatively, the first fingerprint recognition method may be an optical fingerprint recognition method, and the second fingerprint recognition method may be a capacitive fingerprint recognition method. 11. A mobile terminal, characterized in that it comprises a data acquisition unit, a verification unit, and a determination unit, wherein: The acquisition unit is used to acquire a first fingerprint image of the target finger using a first fingerprint recognition method; The verification unit is used to verify whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold. The verification unit is further configured to verify whether the matching degree between the first fingerprint image and the second fingerprint template corresponding to the second fingerprint recognition method is greater than the preset threshold when the matching degree between the first fingerprint image and the first fingerprint template is less than or equal to the preset threshold. The determining unit is configured to determine that fingerprint recognition verification has been passed when the matching degree between the first fingerprint image and the second fingerprint template is greater than the preset threshold. The verification unit verifies whether the matching degree between the first fingerprint image and the first fingerprint template corresponding to the first fingerprint recognition method is greater than a preset threshold, specifically: Extract fingerprint features from the first fingerprint image, match the extracted fingerprint features with the first preset fingerprint template corresponding to the first fingerprint recognition method, and verify whether the matching degree is greater than a preset threshold. 12. A mobile terminal, characterized in that it includes an application processor (AP), a first fingerprint recognition module connected to the AP, and a memory, the memory being used to store one or more programs configured to be executed by the AP, the programs including methods for performing the method as described in any one of claims 6-10. 13. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program for electronic data interchange, wherein the computer program causes a computer to perform the method as described in any one of claims 6-10.