CN111414810B - Fingerprint collection method, electronic device and storage medium - Google Patents

Abstract

The application discloses a fingerprint acquisition method, an electronic device and a storage medium. The fingerprint acquisition method is used for an electronic device, the electronic device comprises a liquid crystal display module, and a fingerprint sensor and a light supplementing lamp which are all arranged below the liquid crystal display module, and the fingerprint acquisition method comprises the following steps: when the electronic device is in an interference environment, the light supplementing lamp is turned off, and a first image is acquired through the fingerprint sensor; starting the light supplementing lamp and collecting a second image through the fingerprint sensor; and forming a fingerprint identification image according to the first image and the second image. Therefore, the first image and the second image which are acquired under different conditions are utilized to form the fingerprint identification image, so that the noise of the fingerprint identification image can be reduced, and the unlocking rate of the fingerprint is further improved.

Description

Fingerprint collection method, electronic device and storage medium

Technical field

The present application relates to the field of electronic technology, and in particular to a fingerprint collection method, electronic device and storage medium.

Background technique

The liquid crystal display module on the electronic device uses infrared LED to fill the light, so as to realize the under-screen fingerprint recognition of the liquid crystal display module. However, when the LCD module is used outdoors or in a strong light environment, the infrared light in the sun or part of the visible light in the strong light will pass through the LCD module and be imaged on the fingerprint image sensor, interfering with normal fingerprint imaging. Reduce the efficiency of fingerprint unlocking.

Contents of the invention

This application discloses a fingerprint collection method, electronic device and storage medium.

The fingerprint collection method of the present application is used in an electronic device. The electronic device includes a liquid crystal display module, a fingerprint sensor and a fill light all arranged under the liquid crystal display module. The fingerprint collection method includes: in the electronic device When the device is in an interfering environment, turn off the fill light and collect the first image through the fingerprint sensor; turn on the fill light and collect the second image through the fingerprint sensor; according to the first image and the The second image forms a fingerprint recognition image.

In the above fingerprint collection method, the first image and the second image obtained under different conditions are used to form a fingerprint recognition image, which can reduce the noise of the fingerprint recognition image and thereby improve the unlocking rate of the fingerprint.

This application also provides an electronic device, which includes a liquid crystal display module, a fingerprint sensor, a fill light, and a processor that are all disposed under the liquid crystal display module. The processor is used when the electronic device is in an interfering environment. Next, turn off the fill light and collect the first image through the fingerprint sensor; and be used to turn on the fill light and collect the second image through the fingerprint sensor; and be used to collect the second image according to the first image and the fingerprint sensor. The second image forms a fingerprint recognition image. In this way, the above-mentioned electronic device uses the first image and the second image acquired under different conditions to form a fingerprint recognition image, which can reduce the noise of the fingerprint recognition image and thereby improve the unlocking rate of the fingerprint.

The present application also provides a non-volatile computer-readable storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor is caused to execute the fingerprint collection method described in the above embodiments. .

Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.

Description of drawings

The above and/or additional aspects and advantages of the present application will become apparent and readily understood from the description of the embodiments in conjunction with the following drawings, in which:

Figure 1 is a flow chart of a fingerprint collection method according to an embodiment of the present application;

Figure 2 is a schematic scene diagram of the fingerprint collection method according to the embodiment of the present application;

Figure 3 is a partial cross-sectional schematic diagram of an electronic device according to an embodiment of the present application;

Figure 4 is another schematic flow chart of the fingerprint collection method according to the embodiment of the present application;

Figure 5 is another schematic flow chart of the fingerprint collection method according to the embodiment of the present application;

Figure 6 is another schematic flow chart of the fingerprint collection method according to the embodiment of the present application;

Figure 7 is another schematic flow chart of the fingerprint collection method according to the embodiment of the present application;

Figure 8 is another schematic flow chart of the fingerprint collection method according to the embodiment of the present application;

Figure 9 is a schematic plan view of an electronic device according to an embodiment of the present application;

FIG. 10 is a schematic diagram of the internal modules of the electronic device according to the embodiment of the present application.

Description of main component symbols:

Electronic device 100, liquid crystal display module 10, fingerprint sensor 20, first image 201, second image 202, fingerprint recognition image 203, fill light 30, proximity sensor 40, light sensor 50, processor 60, system bus 70, Memory 80, internal memory 90, input device 110.

Detailed ways

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present application and cannot be understood as limiting the present application.

Please refer to Figure 1, Figure 2 and Figure 3. An embodiment of the present application provides a fingerprint collection method. The fingerprint collection method is used in the electronic device 100 . The electronic device 100 includes a liquid crystal display module 10 , a fingerprint sensor 20 and a fill light 30 that are both arranged below the liquid crystal display module 10 . The fingerprint collection method in the embodiment of this application includes:

S10, when the electronic device 100 is in an interference environment, turn off the fill light 30 and collect the first image 201 through the fingerprint sensor 20;

S20, turn on the fill light 30 and collect the second image 202 through the fingerprint sensor 20;

S30, form a fingerprint recognition image 203 based on the first image 201 and the second image 202.

With the development of electronic technology, under-screen fingerprint unlocking has become mainstream. In some under-screen fingerprint unlocking methods, infrared light needs to be emitted through an infrared fill light. The infrared light penetrates the screen and is reflected by the surface of the user's fingerprint, and then passes through again. The screen is imaged on the fingerprint sensor below the screen, and the fingerprint recognition image can be obtained. The similarity is compared with the pre-entered fingerprint image. If the similarity reaches the standard value, the electronic device can be unlocked. However, the infrared light emitted by the infrared fill light easily interferes with the infrared light in the environment. The infrared light in the environment will cause poor imaging quality of the fingerprint sensor and reduce the unlocking efficiency of the electronic device.

In the fingerprint collection method of the embodiment of the present application, the electronic device uses the first image 201 and the second image 202 acquired under different conditions to form the fingerprint recognition image 203, which can reduce the noise of the fingerprint recognition image 203 and thereby improve the fingerprint unlocking rate.

Specifically, the electronic device 100 may be any of various types of computer system devices that are mobile or portable and perform wireless communications. For example, the electronic device 100 may be a mobile phone, a portable game device, a laptop, a personal digital assistant (PDA), a portable android device (PAD), a portable Internet device, a wearable device, a vehicle-mounted terminal, a navigation system instruments, music players and data storage devices, etc.

In step S1, when the user presses his finger on the corresponding fingerprint unlocking part on the liquid crystal display module 10, the fingerprint sensor 20 can collect a fingerprint image through the liquid crystal display module. The interference environment may include infrared light, ultraviolet light and strong light environment. In the embodiment of the present application, the interference environment is infrared light and strong light environment. The infrared light environment is an infrared light environment that has a certain intensity and will affect the formation of the fingerprint recognition image, such as in a sunlight environment; the strong light environment is a visible light environment that has a certain intensity and will affect the formation of the fingerprint recognition image, such as: indoor strong light environment. Next to the light.

When it is determined that the electronic device 100 is in an interference environment, that is, when the electronic device 100 is in an infrared light or strong light environment, the electronic device 100 turns off the fill light 30 and collects the first image without its own infrared fill light 30 through the fingerprint sensor 20 . Image, the first image is a background image formed based on the infrared light or strong light in the environment penetrating the finger or leaking light.

When it is determined that the electronic device 100 is not in an interference environment, the electronic device 100 turns on the fill light 30 to obtain the user's fingerprint image.

In step S2, after collecting the first image 201, the electronic device 100 turns on the fill light 30 and collects a second image 202. The second image 202 is the infrared light emitted by the fill light 30 and the infrared light in the environment. Fingerprint image in the presence of strong light at the same time.

In step S3, the interval between obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint has almost no change, and the difference between the first image 201 and the second image 202 is the imaging of the second image 202 There is an extra infrared light from the fill light 30. Therefore, the difference between the first image 201 and the second image 202 can be used to obtain the fingerprint recognition image 203, which is the fingerprint image without environmental interference.

Furthermore, since it takes a relatively long time to obtain the fingerprint recognition image 203 through the first image 201 and the second image 202, in order to improve the user's unlocking efficiency, it is possible to set the user's first fingerprint unlocking not to detect the interference environment. , if the user fails to unlock the fingerprint for the first time, then use the fingerprint collection method of the embodiment of the present application to collect the fingerprint recognition image. In this way, the fingerprint unlocking speed can be improved as a whole.

Please refer to Figure 3 and Figure 4. In some embodiments, the fingerprint collection method includes:

S01, obtain the ambient infrared light intensity around the electronic device 100;

S02: When the ambient infrared light intensity is greater than the infrared light threshold, it is determined that the electronic device 100 is in an interference environment.

In this way, it can be determined that the electronic device 100 is in an interference environment.

Specifically, infrared light will exist to a greater or lesser extent in the environment, whether indoors or outdoors. The imaging of the fingerprint sensor 20 by infrared light is also related to the intensity of the infrared light. Weaker infrared light does not affect the fingerprint recognition function. Therefore, the infrared light threshold can be set. When the intensity of infrared light in the interference environment is greater than the set infrared light threshold, the fingerprint collection method of the embodiment of the present application is executed to obtain the fingerprint recognition image.

Referring to Figure 5 and Figure 9, in some embodiments, step S01 includes:

S011, obtain the infrared light signal collected by the proximity sensor 40 of the electronic device 100;

S012, determine the ambient infrared light intensity based on the infrared light signal.

Specifically, the electronic device 100 may be a mobile terminal, and the mobile terminal itself has a proximity sensor 40. The proximity sensor 40 may include an infrared emitter and an infrared light sensor. The fingerprint collection method of the embodiment of the present application can use an infrared light sensor to obtain an infrared light signal, and can determine the infrared light intensity based on the infrared light signal. Therefore, there is no need to add a sensor to detect the infrared light, which saves the internal space of the electronic device 100 .

Please refer to Figure 6. In some embodiments, the fingerprint collection method includes:

S03, obtain the ambient light intensity around the electronic device 100;

S04: When the ambient light intensity is greater than the ambient light threshold, it is determined that the electronic device 100 is in an interference environment.

Specifically, when the intensity of visible light in the environment is too high, part of the visible light will also penetrate the liquid crystal display module 10 and be imaged on the fingerprint sensor 20 , causing the acquired fingerprint recognition image to be unable to unlock the electronic device 100 . Therefore, when the infrared light in the detection environment does not exceed the set infrared light threshold, the intensity of the visible light still needs to be detected. The threshold value that visible light will not affect the fingerprint recognition image can be set. When the visible light intensity is greater than the set When the threshold is reached, the fingerprint recognition image is collected using the fingerprint collection method of the embodiment of the present application.

On the contrary, when the infrared light in the detection environment is not greater than the set infrared light threshold, and when the visible light intensity is not greater than the set intensity threshold, the fingerprint collection method of the embodiment of the present application is not used to collect fingerprint recognition images.

Referring to Figures 7 and 9, in some embodiments, step S03 includes:

S031, obtain the ambient light signal collected by the light sensor 50 of the electronic device 100;

S032, determine the ambient light intensity based on the ambient light signal.

Specifically, the electronic device 100 may be a mobile terminal. The light sensor 50 in the mobile terminal is usually used to help adjust the backlight intensity of the liquid crystal display module 10 so that the brightness of the liquid crystal display module 10 can automatically adapt when the user uses the mobile terminal. The intensity of light in the environment. Therefore, the fingerprint collection method of the embodiment of the present application can use the light intensity in the environment acquired by the light sensor 50. When the light intensity in the environment is greater than the preset ambient light intensity threshold, it is determined that the electronic device 100 is in an interfering environment. The fingerprint collection method of the application embodiment collects fingerprint recognition images.

Referring to Figure 2 and Figure 8, in some embodiments, step S30 includes:

S31, determine the first grayscale value of the first image 201 and the second grayscale value of the second image 202;

S32: Form the fingerprint recognition image 203 based on the difference between the first grayscale value and the second grayscale value.

In this way, the fingerprint recognition image 203 without ambient infrared light and strong light interference can be obtained.

Specifically, the interval between obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint has almost no change, and the difference between the first image 201 and the second image 202 is that the second image 202 is much more The infrared light of the fill light 30. Therefore, the difference in grayscale value between the first image 201 and the second image 202 can be used to subtract the first image 201 and the second image 202 through the grayscale value to obtain the fingerprint recognition image 203. The fingerprint recognition image 203 has no Fingerprint images under environmental interference.

Referring to Figures 2, 9 and 10, this application also provides an electronic device 100. The electronic device 100 includes a liquid crystal display module 10, a fingerprint sensor 20, a fill light 30 and a The processor 60 is configured to turn off the fill light 30 and collect the first image through the fingerprint sensor 20 when the electronic device 100 is in an interference environment; and to turn on the fill light 30 and collect the first image through the fingerprint sensor 20 two images; and for forming a fingerprint recognition image based on the first image and the second image. In this way, the above-mentioned electronic device 100 can obtain a fingerprint recognition image that is not affected by interference environments, thereby improving the fingerprint unlocking rate.

Specifically, when the user performs fingerprint unlocking on the electronic device 100 and places the finger at the corresponding fingerprint unlocking position, the processor 60 determines whether the electronic device 100 is in an interference environment through the detection component. The interference environment may include infrared light, ultraviolet light and strong light environment. In the embodiment of the present application, the interference environment is infrared light and strong light environment.

When the processor 60 determines that the electronic device 100 is in an interference environment, that is, when the electronic device 100 is in an infrared light or strong light environment, the processor 60 controls the fill light 30 to turn off, and collects the infrared fill light 30 without its own through the fingerprint sensor 20 The first image 201 and the first image 202 shown below only have a background image formed by infrared light or strong light in the environment penetrating the finger or leaking light.

When the processor 60 determines that the electronic device 100 is not in an interfering environment, the processor 60 will not turn off the fill light 30, and thus obtains the user's fingerprint image using a common fingerprint image acquisition method.

After collecting the first image 201, the processor 60 will turn on the fill light 30 and collect the second image 202. The second image 202 is the coexistence of infrared light emitted by the fill light 30 and infrared light and strong light in the environment. Fingerprint image.

Since the interval between obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint has almost no change, and the difference between the first image 201 and the second image 202 provides additional fill light for the imaging of the second image 202 Lamp 30 of infrared light. Therefore, the difference in grayscale value between the first image 201 and the second image 202 can be used to subtract the first image 201 and the second image 202 through the grayscale value to obtain the fingerprint recognition image 203. The fingerprint recognition image 203 has no Fingerprint images under environmental interference.

Furthermore, since obtaining the fingerprint recognition image 203 through the first image 201 and the second image 202 requires calculation, which consumes a relatively large amount of time, it is possible to set the user's first fingerprint unlocking not to detect interference with the environment. If the fingerprint unlocking fails for the first time, the processor 60 sends a command to the detection component to detect the interference environment. If it is detected that the electronic device 100 is in the interference environment, the method described in the embodiment of the present application is used to perform fingerprint unlocking. In this way, the fingerprint unlocking speed can be improved as a whole.

In some embodiments, the processor 60 is configured to obtain the ambient infrared light intensity around the electronic device 100; and to determine that the electronic device 100 is in an interference environment when the ambient infrared light intensity is greater than an infrared light threshold. In this way, it can be determined whether the electronic device 100 is in an infrared light interference environment.

Referring to FIGS. 8 and 10 , in some embodiments, the processor 60 is used to obtain the infrared light signal collected by the proximity sensor 40 of the electronic device 100 ; and to determine the ambient infrared light intensity according to the infrared light signal. In this way, the infrared light intensity in the environment where the electronic device 100 is located can be obtained.

In some embodiments, the processor 60 is configured to obtain the ambient light intensity around the electronic device 100; and to determine that the electronic device 100 is in an interference environment when the ambient light intensity is greater than the ambient light threshold. In this way, it can be determined whether the electronic device 100 is in a strong light interference environment.

Referring to FIG. 2, FIG. 8 and FIG. 10, in some embodiments, the processor 60 is used to obtain the ambient light signal collected by the light sensor 50 of the electronic device 100; and to determine the ambient light intensity according to the ambient light signal. In this way, the visible light intensity in the environment where the electronic device 100 is located can be obtained.

In some embodiments, the processor 60 is configured to determine a first grayscale value of the first image 201 and a second grayscale value of the second image 202; and to determine a first grayscale value according to the first grayscale value and the second grayscale value. The difference forms the fingerprint recognition image 203. In this way, a fingerprint recognition image without interference from the environment can be obtained and the unlocking rate of the fingerprint can be improved.

Since the interval between obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint has almost no change, and the difference between the first image 201 and the second image 202 provides additional fill light for the imaging of the second image 202 Lamp 30 of infrared light. Therefore, the processor 60 can be used to obtain the grayscale values of the first image 201 and the second image 202, and the first image 201 and the second image 202 are passed through the difference in grayscale values between the first image 201 and the second image 202. The fingerprint recognition image 203 is obtained by subtracting the grayscale values. The fingerprint recognition image 203 is the fingerprint image without environmental interference.

Please refer to FIG. 10 , which is a schematic diagram of the internal modules of the electronic device 100 in one embodiment. The electronic device 100 includes a processor 60 connected through a system bus 70 , a memory 80 (for example, a non-volatile storage medium), an internal memory 90 , a liquid crystal display module 10 , a fingerprint sensor 20 , a fill light 30 , a proximity sensor 40 and a light sensor. Sensor 50. Among them, the memory 80 of the electronic device 100 stores an operating system and computer-readable instructions. The computer-readable instructions can be executed by the processor 60 to implement the fingerprint collection method in any of the above embodiments.

The processor 60 can be used to provide computing and control capabilities to support the operation of the entire electronic device 100 . Internal memory 90 of electronic device 100 provides an environment for execution of computer-readable instructions in memory 80 .

The input device 110 may also be a button, trackball or touch pad provided on the housing of the electronic device 100, or may be an external keyboard, touch pad or mouse.

In one example, when the user presses a fingerprint on the liquid crystal display module 10 at a position corresponding to the fingerprint unlocking, the processor 60 issues an instruction through the system bus to cause the proximity sensor 40 to detect infrared light and the light sensor 50 to detect light intensity. The result is transmitted to the processor 60 through the system bus 70, and the processor 60 makes a corresponding judgment, and transmits a control instruction through the system bus 70 to turn the fill light on or off. A fingerprint recognition image is then derived from the first image and the second image acquired by the fingerprint sensor 20 to unlock the electronic device 100 .

The present application also provides a non-volatile computer-readable storage medium containing computer-executable instructions. When the computer-executable instructions are executed by the processor 60, the processor 60 is caused to execute any of the above embodiments of the fingerprint collection method.

Those skilled in the art can understand that the structure shown in the figure is only a schematic diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. Specific electronic devices may include There may be more or fewer parts than shown, or certain parts may be combined, or may have a different arrangement of parts.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it may include the processes of the above method embodiments. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), etc.

The above embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims (11)

1. The fingerprint acquisition method is used for an electronic device, and the electronic device comprises a liquid crystal display module, a fingerprint sensor and a light supplementing lamp which are all arranged below the liquid crystal display module, and is characterized by comprising the following steps of:

under the condition that the first fingerprint unlocking of a user fails, acquiring the ambient infrared light intensity around the electronic device, wherein the first fingerprint unlocking does not interfere with the detection of the environment;

determining that the electronic device is in the interference environment when the ambient infrared light intensity is greater than an infrared light threshold;

turning off the light supplementing lamp and collecting a first image through the fingerprint sensor under the condition that the electronic device is in the interference environment;

starting the light supplementing lamp and collecting a second image through the fingerprint sensor;

and forming a fingerprint identification image according to the first image and the second image.

2. The method of claim 1, wherein obtaining the ambient infrared light intensity around the electronic device comprises:

acquiring an infrared light signal acquired by a proximity sensor of the electronic device;

and determining the ambient infrared light intensity according to the infrared light signal.

3. A method of fingerprint acquisition according to claim 1 or 2, characterized in that the method of fingerprint acquisition comprises:

acquiring the ambient light intensity around the electronic device;

and when the ambient light intensity is greater than an ambient light threshold, determining that the electronic device is in the interference environment.

4. A method of fingerprint acquisition according to claim 3, wherein acquiring the intensity of ambient light around the electronic device comprises:

acquiring an ambient light signal acquired by a light sensor of the electronic device;

and determining the ambient light intensity according to the ambient light signal.

5. The fingerprint acquisition method according to claim 1, wherein forming a fingerprint identification image from the first image and the second image comprises:

determining a first gray value of the first image and a second gray value of the second image;

and forming the fingerprint identification image according to the difference value of the first gray level value and the second gray level value.

6. The electronic device is characterized by comprising a liquid crystal display module, a fingerprint sensor, a light supplementing lamp and a processor, wherein the fingerprint sensor, the light supplementing lamp and the processor are all arranged below the liquid crystal display module, the processor is used for acquiring the ambient infrared light intensity around the electronic device under the condition that the first fingerprint unlocking of a user fails, and the first fingerprint unlocking does not interfere with the detection of the environment; and determining that the electronic device is in the interference environment when the ambient infrared light intensity is greater than an infrared light threshold; and the electronic device is used for turning off the light supplementing lamp and collecting a first image through the fingerprint sensor under the condition that the electronic device is in the interference environment; the light supplementing lamp is used for starting and collecting a second image through the fingerprint sensor; and forming a fingerprint identification image from the first image and the second image.

7. The electronic device of claim 6, wherein the processor is configured to obtain an infrared light signal acquired by a proximity sensor of the electronic device; and determining the ambient infrared light intensity from the infrared light signal.

8. The electronic device of claim 6 or 7, wherein the processor is configured to obtain an intensity of ambient light around the electronic device; and determining that the electronic device is in the interference environment when the ambient light intensity is greater than an ambient light threshold.

9. The electronic device of claim 8, wherein the processor is configured to obtain an ambient light signal collected by a light sensor of the electronic device; and determining the ambient light intensity from the ambient light signal.

10. The electronic device of claim 6, wherein the processor is configured to determine a first gray value for the first image and a second gray value for the second image; and the fingerprint identification image is formed according to the difference value of the first gray value and the second gray value.

11. A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform the fingerprint acquisition method of any one of claims 1-5.