CN105868613A - Biometric identification method, device and mobile terminal - Google Patents

Abstract

The invention discloses a biological feature identification method, a biological feature identification device and a mobile terminal, wherein the method comprises the following steps: collecting biological characteristic information of a user; judging whether the biological characteristic information meets a preset biological characteristic identification condition or not; and if the biological characteristic information does not meet the preset biological characteristic identification condition, returning to execute the operation of acquiring the biological characteristic information of the user when the biological characteristic of the user is determined not to leave the biological characteristic acquisition range until the preset ending return condition is met. In one-time biological feature recognition operation of the user, the invention carries out matching recognition by repeatedly acquiring the biological feature information of the user, thereby improving the success rate of biological feature recognition.

Description

Biometric identification method, device and mobile terminal

technical field

The present invention relates to the technical field of biological feature identification, in particular to a biological feature identification method, device and mobile terminal.

Background technique

Biological features, especially fingerprints, have become a very important way to identify users due to their lifelong invariance, uniqueness and convenience. At present, fingerprint recognition technology has become the standard equipment of most mobile terminals. Fingerprint recognition can not only be used for functions such as unlocking and waking up mobile terminals, but also an important link in mobile payment.

The existing fingerprint identification process includes: extracting features, saving data and image matching. That is, the fingerprint image of the person is read through the fingerprint reading device, and after the fingerprint image is taken, the image is preliminarily processed to make it clearer, and then the feature points are matched with the registered fingerprint template, and unlocked after the matching is successful; but After the matching fails, the user needs to unlock again, that is, press the finger on the fingerprint reading device again, which brings inconvenience to the user to unlock and wake up the mobile terminal, as well as fingerprint identification related operations such as mobile payment.

Contents of the invention

In view of this, the object of the present invention is to propose a biological feature identification method, device and mobile terminal, so as to improve the success rate of biological feature identification.

To achieve the above object, the present invention adopts the following technical solutions:

In a first aspect, an embodiment of the present invention provides a biometric identification method, including:

Collect user's biometric information;

Judging whether the biometric information satisfies a preset biometric identification condition;

If the biometric information does not meet the preset biometric identification conditions, when it is determined that the user's biometrics have not left the biometric collection range, return to the operation of collecting the user's biometric information until the preset end return condition is met .

In a second aspect, an embodiment of the present invention provides a biometric identification device, including:

The biological feature information collection module is used to collect the user's biological feature information;

A biometric information judging module, configured to judge whether the biometric information satisfies preset biometric identification conditions;

The information collection return execution module is used to return and execute the operation of collecting the user's biometric information when it is determined that the user's biometric does not leave the biometric collection range if the biometric information does not meet the preset biometric identification conditions , until the preset end return condition is satisfied.

In a third aspect, an embodiment of the present invention provides a mobile terminal, where the mobile terminal includes the biometric identification device described in the second aspect above.

The beneficial effects of the present invention are: the biological feature identification method, device and mobile terminal provided by the present invention collect the user's biological feature information through the biological feature collection device (such as the fingerprint collection device that comes with the mobile terminal), and the acquired biological feature The feature information is compared with the preset biometric identification conditions. When it is determined that the biometric information does not meet the preset biometric identification conditions, during a user biometric identification operation (such as the user's finger touches the fingerprint collection device to the first time it leaves the fingerprint) The collection device is a biometric identification operation), and returns to execute the operation of collecting the user's biometric information. Therefore, in a biometric identification operation, if the user fails the biometric identification for the first time, the user's biometric information can be collected repeatedly, and the biometric identification is performed again, which improves the success rate of biometric identification and further improves the user's ability to perform unlocking. and wake-up, as well as the success rate of fingerprint identification-related operations such as mobile payment.

Description of drawings

Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that those of ordinary skill in the art will be more aware of the above-mentioned and other features and advantages of the present invention. In the accompanying drawings:

FIG. 1 is a schematic flowchart of a biometric identification method provided by Embodiment 1 of the present invention;

FIG. 2 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 2 of the present invention;

FIG. 3 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 3 of the present invention;

FIG. 4 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 4 of the present invention;

FIG. 5 is a structural block diagram of a biometric identification device provided in Embodiment 5 of the present invention.

detailed description

The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

Embodiment one

FIG. 1 is a schematic flowchart of a biometric identification method provided by Embodiment 1 of the present invention. The method is suitable for identifying biological features such as fingerprints, human faces and irises, and the method can be executed by a biological feature identification device. The device can be realized by means of software and/or hardware, and the device can be configured in devices requiring security protection such as mobile terminals, anti-theft doors, and enterprise punch cards. As shown in Figure 1, the method includes:

Step 101, collecting biometric information of a user.

Wherein, the biological feature may be a fingerprint, a human face or an iris, and correspondingly, the biological feature information may include a fingerprint image, a human face image or an iris image.

Exemplarily, when collecting the user's fingerprint information, a fingerprint collector with a radio frequency sensor can be used. The user's finger touches the prism surface of the fingerprint collector, and the fingerprint collector can recognize the fingerprint pattern of the dermis, and then collect the fingerprint image to prevent problem of artificial fingerprints.

Step 102, judging whether the biological feature information satisfies a preset biological feature identification condition.

Take the fingerprint unlocking operation as an example. At present, there are two key points in fingerprint recognition, one is the image acquisition algorithm, and the other is the image matching algorithm. The existing fingerprint recognition process will only run the above algorithm once, that is, after the user touches the fingerprint collector , generate an interruption first, then collect images, perform preliminary processing on the original image to make it clearer, and then match it with the preset fingerprint template. If the match is successful, it will be unlocked. If the match fails, the fingerprint unlocking will fail. When the user unlocks again, the user will touch the fingerprint collector again, which will cause inconvenience to the user and affect the user experience.

Therefore, in order to improve the success rate of the user's one-time fingerprint unlocking, after the user's fingerprint information is collected, it may be determined whether the biometric information satisfies the preset biometric identification conditions. Exemplarily, according to the above two key points in fingerprint identification, after preliminary processing of the collected fingerprint image and/or after matching the collected fingerprint image with the preset fingerprint template, it can be judged whether the biometric information is Meet the preset biometric identification conditions. Wherein, the preset biometric identification condition can be a condition set for the quality of the fingerprint image, or a condition set for the matching degree of the fingerprint image; for example, the quality score of the collected fingerprint image is not less than the preset image quality score As the preset biometric identification condition, or the matching degree between the collected fingerprint image and the preset fingerprint template is not less than the preset matching value as the preset biometric identification condition.

Step 103: If the biometric information does not meet the preset biometric identification conditions, when it is determined that the user's biometrics have not left the biometric collection range, return to the operation of collecting the user's biometric information until the preset conditions are met. End return condition.

Wherein, determining that the user's biometric feature does not leave the range of biometric feature collection may include:

After the user's fingerprint image is collected for the first time, the touch signal on the fingerprint collector is detected in real time, and if the touch signal is not interrupted, it is determined that the user's fingerprint has not left the fingerprint collection range; or,

After the user's face image is collected for the first time, according to the facial feature information, the user's face is searched in real time, and if the user's face is found, it is determined that the face does not leave the face collection range; or,

After the user's iris image is collected for the first time, the user's eyes are located in real time, and if it is determined that the user's eyes are located at the preset collection position, it is determined that the user's iris has not left the iris collection range.

Exemplarily, in the fingerprint unlocking operation, if the biometric information does not meet the preset biometric identification conditions, it is judged whether the fingerprint identification operation is still the fingerprint identification operation when the fingerprint information is started to be collected, that is, it is detected that the user's finger has not touched the fingerprint collection device. First, whether you have left the fingerprint collection device. When it is detected that the user's finger has not left the fingerprint collection device, return to the operation of collecting the user's fingerprint information.

In addition, in the fingerprint unlocking operation, if the biometric information does not meet the preset biometric identification conditions, in order to end the fingerprint unlocking operation, the preset end return condition can be set, so as not to return to the process of collecting the user's biometric information. operate. Wherein, the preset end return condition includes: the number of times of judging whether the biometric information satisfies the preset biometric identification condition reaches the preset number of times.

In this embodiment, considering that the time for the user to perform one fingerprint recognition operation is relatively short, the above-mentioned preset number of times can be set to 2 times, that is, after the second judgment that the biometric feature information does not meet the preset biometric feature recognition conditions, it will not return to execute The operation of collecting the user's biometric information; for face recognition or iris recognition, the preset number of times can also be set according to the usual scanning (collecting) time of the face or iris. Correspondingly, it is also possible to end the return execution operation by limiting the number of times (for example, one time) that the operation of collecting the biometric information of the user can be returned.

In addition, when the user's finger leaves the fingerprint collector, the fingerprint collector cannot collect the user's fingerprint information. Therefore, after returning to the operation of collecting the user's biometric information, if the collection of the user's biometric information fails, it indicates that the user's current fingerprint The identification operation has been completed, and the mobile terminal system will not return to perform the operation of collecting the biometric information of the user.

In the biological feature recognition method provided by Embodiment 1 of the present invention, during a user's biological feature recognition operation, the user's biological feature information is collected through the biological feature collection device, and the obtained biological feature information is compared with the preset biological feature recognition conditions. For comparison, when it is determined that the biometric information does not meet the preset biometric identification conditions, and when the user's biometric does not leave the biometric collection range, return to the operation of collecting the user's biometric information. Thus, in the present invention, if the biometric identification fails for the first time during a biometric identification operation of the user, the biometric information of the user can be collected repeatedly, and the biometric identification is performed again, which improves the success rate of biometric identification, and further improves the user's The success rate of fingerprint recognition-related operations such as unlocking and waking up, and mobile payment.

Embodiment two

FIG. 2 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 2 of the present invention. In this embodiment, based on Embodiment 1, the optimization of judging whether the biometric information meets the preset biometric identification conditions is as follows: matching the biometric information with the preset biometric template; if the matching fails, judging that the biometric information does not meet the requirements Preset biometric identification conditions. In this embodiment, fingerprint unlocking is taken as an example for illustration, and the number of times of judging whether the fingerprint image satisfies the preset biometric feature recognition condition is 2 times.

As shown in Figure 2, the method of this embodiment includes:

Step 201, collect the fingerprint image of the user.

Step 202, matching the fingerprint image with a preset fingerprint template, and judging whether the matching fails. If the matching fails, go to step 203; otherwise go to step 206.

Exemplary, extract a plurality of characteristic points in the fingerprint image; Match the plurality of characteristic points in the fingerprint image with the plurality of characteristic points of the preset fingerprint template; If the plurality of characteristic points in the fingerprint image and the preset fingerprint template If the matching number of multiple feature points is less than the preset threshold, the matching will fail.

Step 203, judging that the fingerprint information does not meet the preset biometric identification conditions, and collecting the user's fingerprint image again when it is determined that the user's fingerprint has not left the fingerprint collection range.

Step 204, matching the fingerprint image with the preset fingerprint template, and judging whether the matching fails. If the matching fails, go to step 205; otherwise go to step 206.

Step 205, the fingerprint unlocking fails, and the user is prompted to unlock again.

Step 206, unlock the mobile terminal.

Step 207, the fingerprint unlocking ends.

In the biological feature identification method provided by Embodiment 2 of the present invention, if the user fails to match the fingerprint image for the first time during a fingerprint identification operation, the user's fingerprint information can be collected again, and the fingerprint identification is performed again, which improves the success rate of fingerprint identification, and then Improve the success rate of users performing unlocking and waking up, as well as fingerprint identification related operations such as mobile payment.

Embodiment three

FIG. 3 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 3 of the present invention. In this embodiment, based on Embodiment 1, the optimization of judging whether the biometric information satisfies the preset biometric identification conditions is as follows: according to the biometric information, calculate the image quality score of the biometric; if the image quality score of the biometric is smaller than the preset image quality score, it is determined that the biometric information does not meet the preset biometric identification conditions. In this embodiment, fingerprint unlocking is taken as an example for illustration, and the number of times of judging whether the fingerprint image satisfies the preset biometric feature recognition condition is 2 times.

As shown in Figure 3, the method of this embodiment includes:

Step 301, collect the fingerprint image of the user.

Step 302. Calculate the fingerprint image quality score according to the fingerprint image.

Fingerprint images and ordinary images focus on different points. Ordinary images may pay more attention to clarity, color, RGB value, saturation, etc.; fingerprint images are ultimately to obtain feature points from the image, where feature points include but are not limited to intersection points , rendezvous and breakpoints, etc.

The fingerprint image quality is strongly related to the following parameters: image contrast, number of feature points, image coverage and other related parameters. Among them, the image contrast is the black-and-white contrast represented by finger peaks and finger valleys on the image, and the larger the black-white contrast, the better. Specifically, the black-white contrast can be determined by the pixel value. The lower the pixel value, the whiter the image, and the higher the pixel value, The darker the image, all the pixels form a fingerprint image; the image coverage refers to the percentage of the collected fingerprint image to the corresponding fingerprint image when the fingerprint is fully spread on the fingerprint collector. The collected fingerprint image is incomplete, which affects the quality of the fingerprint image ; other relevant parameters include sharpness and noise etc.

Exemplarily, standard thresholds are set for image contrast, number of feature points, image coverage and other related parameters. If a parameter value reaches the corresponding standard threshold, the score of this parameter is 100 points. Therefore, each The score for an item parameter can be linear with the parameter value.

In this embodiment, after the fingerprint image is collected, the image contrast, the number of feature points, the image coverage and other related parameters are respectively analyzed to calculate the image contrast score A, the number of feature points score B, the image coverage score C and Other relevant parameter scores D, and the fingerprint image quality score q is calculated according to the following formula: q=A*40%+B*30%+C*20%+D*10%.

Step 303, judging whether the fingerprint image quality score is less than a preset image quality score. If the fingerprint image quality score is less than the preset image quality score, go to step 304; otherwise go to step 305.

Based on step 302, the preset image quality score can be set to 60 points, and the fingerprint image with a score of 80 or more is set as a high-quality fingerprint image. After the fingerprint image is successfully matched, the fingerprint image with a score of 80 or more can be replaced with a new fingerprint template.

Step 304, judging that the fingerprint information does not meet the preset biometric identification conditions, and collecting the user's fingerprint image again when it is determined that the user's fingerprint has not left the fingerprint collection range.

Step 305, matching the fingerprint image with the preset fingerprint template, and judging whether the matching fails. If the matching fails, go to step 306; otherwise go to step 307.

Step 306, the fingerprint unlocking fails, and the user is prompted to unlock again.

Step 307, unlock the mobile terminal.

Step 308, the fingerprint unlocking ends.

In the biometric identification method provided by Embodiment 3 of the present invention, during a fingerprint identification operation, if the quality score of the fingerprint image collected for the first time is lower than the preset image quality score, the user's fingerprint information can be collected again, and the fingerprint identification can be performed again. The success rate of fingerprint identification is improved, which in turn improves the success rate of users performing unlocking and waking up, as well as fingerprint identification-related operations such as mobile payment.

Embodiment Four

FIG. 4 is a schematic flowchart of a fingerprint unlocking method provided in Embodiment 4 of the present invention. In this embodiment, based on the above-mentioned embodiments, judgments on preset biometric identification conditions are performed in both the collection and matching operations of fingerprint images, which further improves the success rate of fingerprint identification.

As shown in Figure 4, the method of this embodiment includes:

Step 401, collecting the fingerprint image of the user.

Step 402. Calculate the fingerprint image quality score according to the fingerprint image.

Step 403, judging whether the fingerprint image quality score is less than a preset image quality score. If the fingerprint image quality score is less than the preset image quality score, go to step 404; otherwise go to step 405.

Step 404, judging that the fingerprint information does not meet the preset biometric identification conditions, and collecting the user's fingerprint image again when it is determined that the user's fingerprint has not left the fingerprint collection range.

Step 405, matching the fingerprint image with the preset fingerprint template, and judging whether the matching fails. If the matching fails, go to step 406; otherwise go to step 409.

Step 406, judging that the fingerprint information does not meet the preset biometric identification conditions, and collecting the user's fingerprint image again when it is determined that the user's fingerprint has not left the fingerprint collection range.

Step 407, matching the fingerprint image with the preset fingerprint template, and judging whether the matching fails. If the matching fails, go to step 408; otherwise go to step 409.

Step 408, the fingerprint unlocking fails, prompting the user to unlock again.

Step 409, unlock the mobile terminal.

Step 410, the fingerprint unlocking ends.

In the biometric identification method provided by Embodiment 4 of the present invention, in a fingerprint identification operation, if the quality score of the fingerprint image collected for the first time is lower than the preset image quality score, or the fingerprint image matching fails for the first time, the user's fingerprint can be collected again Information, fingerprint recognition is performed again, which further improves the success rate of fingerprint recognition, thereby improving the success rate of users performing unlocking and wake-up, and fingerprint recognition-related operations such as mobile payment.

Embodiment five

FIG. 5 is a structural block diagram of a biometric identification device provided in Embodiment 5 of the present invention. As shown in FIG. 5 , the device includes a biometric information collection module 10 , a biometric information judgment module 20 , a collection range judgment module 30 and an information collection return execution module 40 .

Wherein, the biological feature information collection module 10 is used to collect the user's biological feature information;

The biometric information judging module 20 is used to judge whether the biometric information satisfies the preset biometric identification condition;

Collection range judging module 30, for judging whether the user's biometric feature leaves the biometric feature collection range;

The information collection is returned to the execution module 40, which is used to return and execute the operation of collecting the user's biometric information until the biometric information does not meet the preset biometric identification condition when it is determined that the user's biometric does not leave the biometric collection range. Default end return condition.

Wherein, the biometric information above includes a fingerprint image; correspondingly, the collection range judging module 30 is specifically used to: detect the touch signal on the fingerprint collector in real time after the user's fingerprint image is collected for the first time, and determine if the touch signal is not interrupted. The user's fingerprints do not leave the fingerprint collection range; or,

Biological feature information includes a face image; correspondingly, the collection range judgment module 30 is specifically used for: after the user's face image is collected for the first time, according to the facial feature information, search for the user's face in real time, if the user's face is found part, it is determined that the face does not leave the range of face collection; or,

The biometric information includes an iris image; correspondingly, the collection range judging module 30 is specifically used to: after the user's iris image is collected for the first time, locate the user's eyes in real time; The iris has not left the iris collection range.

Further, the above-mentioned biometric information judging module 20 may include:

A biometric information matching unit, configured to match the biometric information with a preset biometric template;

The biometric information matching judging unit is configured to judge that the biometric information does not meet the preset biometric identification conditions if the matching fails.

Preferably, the above biometric information matching unit is specifically used for:

Extract multiple feature points in the biometric image;

Matching multiple feature points in the biometric image with multiple feature points of a preset biometric template;

If the matching number of the multiple feature points in the biometric image and the multiple feature points of the preset biometric template is less than a preset threshold, the matching fails.

Further, the above-mentioned biometric information judging module 20 may also include:

An image quality score calculation unit, configured to calculate the image quality score of the biometric feature according to the biometric information;

The biological feature information quality judging unit is configured to determine that the biological feature information does not meet the preset biological feature recognition conditions if the image quality score of the biological feature is less than the preset image quality score.

Preferably, in the above solution, the preset end return conditions may include:

The number of times of judging whether the biological feature information satisfies the preset biological feature recognition condition reaches the preset number of times.

The biometric identification device provided in this embodiment belongs to the same inventive concept as the biometric identification method provided in any embodiment of the present invention, can execute the biometric identification method provided in any embodiment of the present invention, and has corresponding functions and beneficial effects . For technical details not exhaustively described in this embodiment, refer to the biometric identification method provided in any embodiment of the present invention.

Embodiment six

The mobile terminal provided in Embodiment 6 of the present invention includes the biological feature identification device provided in the device embodiment of the present invention. Correspondingly, the mobile terminal of the present invention has a biometric feature collection device. The mobile terminal can use the biological feature identification device provided by the present invention to identify the user's biological feature using a corresponding biological feature identification method, and then perform unlocking and waking up of the mobile terminal, as well as fingerprint identification related operations such as mobile payment.

Wherein, the mobile terminal may be a smart phone, a tablet computer, or a personal digital assistant.

The mobile terminal provided by Embodiment 6 of the present invention includes the biometric identification device provided by the embodiment of the present invention, and has corresponding functions and beneficial effects.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (11)

1. A biometric identification method, comprising:

collecting biological characteristic information of a user;

judging whether the biological characteristic information meets a preset biological characteristic identification condition or not;

and if the biological characteristic information does not meet the preset biological characteristic identification condition, returning to execute the operation of acquiring the biological characteristic information of the user when the biological characteristic of the user is determined not to leave the biological characteristic acquisition range until the preset ending return condition is met.

2. The method of claim 1, wherein the biometric information comprises a fingerprint image; accordingly, determining that the biometric characteristic of the user does not leave the biometric characteristic collection range comprises: detecting a touch signal on a fingerprint collector in real time after a fingerprint image of the user is collected for the first time, and if the touch signal is not interrupted, determining that the fingerprint of the user does not leave a fingerprint collection range; or,

the biological characteristic information comprises a face image; accordingly, determining that the biometric characteristic of the user does not leave the biometric characteristic collection range comprises: after the face image of the user is collected for the first time, searching the face of the user in real time according to the face characteristic information, and if the face of the user is searched, determining that the face does not leave the face collection range; or,

the biometric information comprises an iris image; accordingly, determining that the biometric characteristic of the user does not leave the biometric characteristic collection range comprises: and after the iris image of the user is acquired for the first time, positioning the eyes of the user in real time, and if the eyes of the user are determined to be positioned at a preset acquisition position, determining that the iris of the user does not leave the iris acquisition range.

3. The method of claim 1, wherein determining whether the biometric information satisfies a predetermined biometric recognition condition comprises:

matching the biological characteristic information with a preset biological characteristic template;

and if the matching fails, judging that the biological characteristic information does not meet the preset biological characteristic identification condition.

4. The method of claim 1, wherein determining whether the biometric information satisfies a predetermined biometric recognition condition comprises:

calculating the image quality score of the biological characteristics according to the biological characteristic information;

and if the image quality score of the biological characteristic is smaller than a preset image quality score, judging that the biological characteristic information does not meet a preset biological characteristic identification condition.

5. The method according to any one of claims 1 to 4, wherein the preset end return condition comprises:

and judging whether the judgment frequency of whether the biological characteristic information meets the preset biological characteristic identification condition reaches the preset frequency.

6. A biometric identification device, comprising:

the biological characteristic information acquisition module is used for acquiring biological characteristic information of a user;

the biological characteristic information judging module is used for judging whether the biological characteristic information meets a preset biological characteristic identification condition;

the acquisition range judging module is used for judging whether the biological characteristics of the user leave the biological characteristic acquisition range or not;

and the information acquisition return execution module is used for returning to execute the operation of acquiring the biological characteristic information of the user when the biological characteristic of the user is determined not to leave the biological characteristic acquisition range if the biological characteristic information does not meet the preset biological characteristic identification condition until the preset ending return condition is met.

7. The apparatus of claim 6, wherein the biometric information comprises a fingerprint image; correspondingly, the acquisition range judgment module is specifically configured to: detecting a touch signal on a fingerprint collector in real time after a fingerprint image of the user is collected for the first time, and if the touch signal is not interrupted, determining that the fingerprint of the user does not leave a fingerprint collection range; or,

the biological characteristic information comprises a face image; correspondingly, the acquisition range judgment module is specifically configured to: after the face image of the user is collected for the first time, searching the face of the user in real time according to the face characteristic information, and if the face of the user is searched, determining that the face does not leave the face collection range; or,

the biometric information comprises an iris image; correspondingly, the acquisition range judgment module is specifically configured to: and after the iris image of the user is acquired for the first time, positioning the eyes of the user in real time, and if the eyes of the user are determined to be positioned at a preset acquisition position, determining that the iris of the user does not leave the iris acquisition range.

8. The apparatus of claim 6, wherein the biometric information determination module comprises:

the biological characteristic information matching unit is used for matching the biological characteristic information with a preset biological characteristic template;

and the biometric information matching judgment unit is used for judging that the biometric information does not meet the preset biometric identification condition if the matching fails.

9. The apparatus of claim 6, wherein the biometric information determination module comprises:

the image quality score calculating unit is used for calculating the image quality score of the biological characteristics according to the biological characteristic information;

and the biological characteristic information quality judging unit is used for judging that the biological characteristic information does not meet a preset biological characteristic identification condition if the image quality score of the biological characteristic is smaller than a preset image quality score.

10. The apparatus according to any one of claims 6-9, wherein the preset end return condition comprises:

and judging whether the judgment frequency of whether the biological characteristic information meets the preset biological characteristic identification condition reaches the preset frequency.

11. A mobile terminal, characterized in that the mobile terminal comprises the biometric device according to any one of claims 7 to 12.