CN107580114B - Biometric identification method, mobile terminal, and computer-readable storage medium - Google Patents
Biometric identification method, mobile terminal, and computer-readable storage medium Download PDFInfo
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- CN107580114B CN107580114B CN201710733093.2A CN201710733093A CN107580114B CN 107580114 B CN107580114 B CN 107580114B CN 201710733093 A CN201710733093 A CN 201710733093A CN 107580114 B CN107580114 B CN 107580114B
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Abstract
The embodiment of the invention discloses a biological identification method, a mobile terminal and a computer readable storage medium, wherein the method comprises the following steps: when the mobile terminal is in a screen locking standby state, the mobile terminal collects a face image and an iris image according to a biological image collection instruction; verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value or not, and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value or not; and if the matching degree of the face image and the first face template is greater than a first preset threshold value, or the matching degree of the iris image and the first iris template is greater than the first preset threshold value, executing unlocking operation on the mobile terminal. The embodiment of the invention can improve the unlocking success rate of biological identification.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a biometric identification method, a mobile terminal and a computer readable storage medium.
Background
With the popularization of mobile terminals such as mobile phones and tablet computers, people in modern life are basically hands and mobile phones. In order to ensure the security of the mobile phone, the current mobile phone generally adopts biometric identification (e.g., fingerprint identification) to unlock the screen to improve the security. However, in the fingerprint identification process, an operation process that the fingerprint surface of the user presses the fingerprint identification area of the mobile terminal is required, and the operation process has a low identification success rate under many special conditions (for example, the finger is greasy, the finger is wet, the finger is peeled, and the like).
Disclosure of Invention
The embodiment of the invention provides a biological identification method, a mobile terminal and a computer readable storage medium, which can improve the unlocking success rate of biological identification.
A first aspect of an embodiment of the present invention provides a mobile terminal, including an application processor AP, a face recognition module connected to the AP, and an iris recognition module, where:
the face recognition module is used for acquiring a face image according to a biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the iris identification module is used for acquiring an iris image according to the biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the AP is used for verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
and the AP is further used for executing unlocking operation on the mobile terminal when the matching degree of the face image and the first face template is greater than the first preset threshold value or when the matching degree of the iris image and the first iris template is greater than the first preset threshold value.
A second aspect of an embodiment of the present invention provides a biometric method, including:
when the mobile terminal is in a screen locking standby state, acquiring a face image and an iris image according to a biological image acquisition instruction;
verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value or not, and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value or not;
and if the matching degree of the face image and the first face template is greater than the first preset threshold value, or if the matching degree of the iris image and the first iris template is greater than the first preset threshold value, executing unlocking operation on the mobile terminal.
A third aspect of the embodiments of the present invention provides a mobile terminal, including a collecting unit, a verifying unit, and an unlocking unit, where:
the acquisition unit is used for acquiring a face image and an iris image according to the biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the verification unit is used for verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
the unlocking unit is used for executing unlocking operation on the mobile terminal when the matching degree of the face image and the first face template is greater than the first preset threshold value or when the matching degree of the iris image and the first iris template is greater than the first preset threshold value.
A fourth aspect of the embodiments of the present invention provides a mobile terminal, including an application processor AP, a face recognition module connected to the AP, an iris recognition module, and a memory, where the memory is configured to store one or more programs, and the one or more programs are configured to be executed by the AP, and the programs include instructions for performing some or all of the steps described in any of the methods according to the second aspect of the embodiments of the present invention.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium for storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform some or all of the steps of any one of the methods according to the second aspect of embodiments of the present invention.
A sixth aspect of embodiments of the present invention provides a computer program product comprising a non-transitory computer readable storage medium having a computer program stored thereon, the computer program being operable to cause a computer to perform some or all of the steps of a method as described in any one of the second aspects of embodiments of the present invention.
In the embodiment of the invention, when the mobile terminal is in a screen locking standby state, two biological identification modes of face identification and iris identification can be started to carry out biological identification at the same time, and as long as any one biological identification passes verification, the unlocking operation can be carried out on the mobile terminal, so that the unlocking success rate of the biological identification can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1a is a schematic view of a working principle of a face recognition module disclosed in the embodiment of the present invention;
FIG. 1b is a schematic view of an iris recognition module according to an embodiment of the present invention;
fig. 1c is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;
fig. 1d is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
FIG. 2 is a schematic flow chart of a biometric identification method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of another biometric identification method disclosed in the embodiments of the present invention;
FIG. 4 is a schematic flow chart of another biometric identification method disclosed in the embodiments of the present invention;
fig. 5 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
fig. 6 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
fig. 7 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The Mobile terminal according to the embodiment of the present invention may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, which have wireless communication functions. For convenience of description, the above-mentioned devices are collectively referred to as a mobile terminal.
The following describes embodiments of the present invention in detail.
In order to better understand the embodiment of the present invention, a working principle of face recognition and a working principle of iris recognition in the embodiment of the present invention are first described.
Referring to fig. 1a, fig. 1a is a schematic view of a working principle of a face recognition module according to an embodiment of the present invention, as shown in fig. 1a, fig. 1a is a schematic view of a working principle of a face recognition module according to an embodiment of the present invention. The face recognition in fig. 1a is applied to a mobile terminal, which takes a mobile phone as an example. As shown in fig. 1a, the face recognition module 110 includes a front camera 111, a light sensor 112, and a front flash 113. The light sensor 112 is used for acquiring the intensity of the external environment light of the mobile phone, and when the intensity of the external environment light of the mobile phone is stronger, the front-mounted flash lamp 113 is not required to be started, and the front-mounted camera 111 is started to shoot a face image; when the intensity of the external environment light of the mobile phone is weak, the front-facing flash 113 is turned on, and the front-facing camera 111 is started to shoot the face image. Optionally, the face recognition module 110 may further include a distance sensor 114 (e.g., an infrared sensor), where the distance sensor 114 is configured to detect a distance between the mobile phone and a face of the user, and trigger the face recognition module 110 to operate when the distance between the mobile phone and the face of the user is detected by the distance sensor 114 to be within a suitable range (e.g., 20-70 cm). The front camera 111, the light sensor 112, the front flash 113, and the distance sensor 114 may be connected by a bus 115. After the face image is collected by the face recognition module 110, the collected face image can be matched with a face template stored in the memory by a processor in the mobile terminal, and when the matching is passed, the face recognition verification can be passed.
Referring to fig. 1b, fig. 1b is a schematic view of an operating principle of an iris recognition module according to an embodiment of the present invention, as shown in fig. 1b, fig. 1b is a schematic view of an operating principle of an iris recognition module according to an embodiment of the present invention. The iris recognition in fig. 1b is applied to a mobile terminal, which takes a mobile phone as an example. As shown in fig. 1b, the iris recognition module 120 includes an iris camera 121 and an infrared flash 122. The iris camera 121 can shoot iris images, and when the iris camera 121 works, light supplement can be performed through the infrared flash lamp 122. Optionally, the iris recognition module 120 may further include a distance sensor 123 (e.g., an infrared sensor), where the distance sensor 123 is configured to detect a distance between the mobile phone and the eye of the user, and trigger the iris recognition module 120 to operate when the distance between the mobile phone and the eye of the user is detected by the distance sensor 124 to be within a suitable range (e.g., 20-40 cm). The iris camera 121, the infrared flash 122 and the distance sensor 123 may be connected by a bus 124. After the iris image is collected by the iris recognition module 120, the processor in the mobile terminal can match the collected iris image with the iris template stored in the memory, and when the matching is passed, the iris recognition verification can be passed.
The biological recognition (face recognition and iris recognition) of the embodiment of the invention can be used for scenes needing security authentication, such as screen unlocking, mobile phone payment and the like.
Referring to fig. 1c, fig. 1c is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention, as shown in fig. 1c, the mobile terminal 100 includes an Application Processor (AP) 101, a face recognition module 102 connected to the AP101, and an iris recognition module 103, wherein the AP101 is connected to the face recognition module 102 and the iris recognition module 103 through a bus 104.
And the face recognition module 102 is configured to collect a face image according to the biological image collection instruction when the mobile terminal 100 is in a screen locking standby state.
And the iris identification module 103 is configured to acquire an iris image according to the biological image acquisition instruction when the mobile terminal 100 is in a screen locking standby state.
In the embodiment of the present invention, the screen-locking standby state is that the mobile terminal 100 is in a standby state and the screen of the mobile terminal is in a locked state, and may be a screen-off state or a screen-on state. The biometric image acquisition instructions may include face acquisition instructions and iris acquisition instructions. The biometric image capture instruction may be triggered by the user (e.g., the user presses a power key, a volume key, etc.) or by the mobile terminal 100 (e.g., detecting whether the mobile terminal is in a preset state).
The biometric image acquisition command may be triggered by an attitude sensor of the mobile terminal (the attitude sensor may include motion sensors such as a three-axis gyroscope, a three-axis accelerometer, and a three-axis electronic compass), and when the attitude sensor detects that the user has an action of lifting up the mobile terminal 100, the face acquisition command and the iris acquisition command are triggered to be started. The biometric image acquisition instruction may also be triggered by a distance sensor (e.g., an infrared sensor) of the mobile terminal, and the face acquisition instruction and the iris acquisition instruction are triggered to be started when the distance sensor detects that the distance from the mobile terminal 100 to the face of the user is within a preset distance range (e.g., 10-70 cm). The biological image acquisition instruction can also be triggered by a front camera of the mobile terminal, and when the front camera detects a face image, the face acquisition instruction and the iris acquisition instruction are triggered and started. Alternatively, the biometric image capturing instruction may be triggered by at least one of an attitude sensor, a distance sensor, and a front camera of the mobile terminal 100.
And the AP101 is used for verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value.
In the embodiment of the present invention, the way for the AP101 to verify whether the matching degree of the face image and the first face template is greater than the first preset threshold specifically is: the AP101 extracts the face features in the face image, compares the extracted face features with the face features in the first face template to obtain a face matching degree, and compares whether the face matching degree is greater than a first preset threshold value.
The method for verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold by the AP101 specifically comprises: the AP101 extracts iris features in the iris image, compares the extracted iris features with iris features in the first iris template to obtain iris matching degree, and compares whether the iris matching degree is larger than a first preset threshold value or not.
Optionally, the first face template includes a face coarse feature template, and the first iris template includes an iris coarse feature template.
The coarse human face features may be understood as coarse human face features or partial human face features, for example, the coarse human face features may include more obvious features such as eye distances, facial features, and the like of a human face. Corresponding to the face coarse feature is a face fine feature, which may include, for example, eye graphics, lip line, relative distance and relative direction between the five sense organs. A human face rough feature template, namely a human face template consisting of human face rough features; the face fine feature template is a face template consisting of face fine features. The way for the AP101 to verify whether the matching degree of the face image and the first face template is greater than the first preset threshold specifically is: the AP101 extracts the rough face features in the face image, compares the extracted rough face features with the rough face feature template to obtain a face matching degree, and compares whether the face matching degree is greater than a first preset threshold value. In brief, if the coarse human face features are used for human face verification, the human face can be verified through human face recognition only by acquiring the relatively obvious human face features. If the face detail features are adopted for face verification, more face detail features need to be collected to enable the face to pass the face recognition verification. The human face rough characteristic is adopted to carry out human face verification, the human face verification speed is relatively high, but the safety is relatively low, and the human face fine characteristic is adopted to carry out human face verification, the human face verification speed is relatively low, but the safety is relatively high. In the scene of screen unlocking of the mobile terminal, the user pays attention to the unlocking success rate, and the face rough characteristic can be adopted for face verification, so that the face verification speed is increased, and the user experience is improved. In a mobile payment scene of the mobile terminal, the user pays more attention to the payment safety, and the face thin characteristics can be adopted to carry out face verification, so that the payment safety during mobile payment is improved.
The coarse iris features may be understood as rough iris features or partial iris features, for example, the coarse iris features may include more obvious features such as the shape of the pupil, the diameter of the pupil, the color of the pupil, and the like. Corresponding to the iris thick features are iris thin features, which may include, for example, spots, filaments, crowns, stripes, crypts, etc. around the pupil. The iris coarse characteristic template is an iris template consisting of iris coarse characteristics; the iris thin characteristic template is an iris template consisting of iris thin characteristics. The method for verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold by the AP101 specifically comprises: the AP101 extracts the iris rough features in the iris image, compares the extracted iris rough features with the iris rough feature template to obtain the iris matching degree, and compares whether the iris matching degree is larger than a first preset threshold value. In brief, if the iris rough feature is adopted for iris verification, the iris identification verification can be passed only by acquiring the iris feature which includes the obvious iris feature. If the iris detail characteristics are adopted for iris verification, more iris detail characteristics are required to be collected to be capable of passing the iris identification verification. The iris verification is performed by adopting the iris thick characteristic, the speed of the iris verification is relatively high, but the safety is relatively low, and the iris verification is performed by adopting the iris thin characteristic, the speed of the iris verification is relatively low, but the safety is relatively high. In the scene of screen unlocking of the mobile terminal, the user pays attention to the unlocking success rate, and iris verification can be performed by adopting the iris rough characteristic, so that the iris verification speed is increased, and the user experience is improved. In the mobile payment scene of the mobile terminal, the user pays more attention to the payment safety, and can adopt the iris thin characteristic to carry out iris verification, thereby improving the payment safety during mobile payment.
The AP101 is further configured to perform an unlocking operation on the mobile terminal 100 when the matching degree between the face image and the first face template is greater than a first preset threshold, or whether the matching degree between the iris image and the first iris template is greater than the first preset threshold.
In the embodiment of the invention, the AP101 may simultaneously verify the face image collected by the face recognition module 102 and the iris image collected by the iris recognition module 103, and as long as any one of the collected face image and the iris image is successfully matched, it is considered that the mobile terminal can be unlocked through biometric authentication, and the mobile terminal enters the main interface of the mobile terminal, so that the user can operate the application in the mobile terminal.
In the embodiment of the invention, when the mobile terminal is in a screen locking standby state, two biological identification modes of face identification and iris identification can be started to carry out biological identification at the same time, and as long as any one biological identification passes verification, the unlocking operation can be carried out on the mobile terminal, so that the unlocking success rate of the biological identification can be improved.
Optionally, referring to fig. 1d, fig. 1d is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention, as shown in fig. 1d, a sensor module 105 is added on the basis of fig. 1 c.
The sensor module 105 is configured to detect whether the mobile terminal 100 is in a preset state.
Among other things, the sensor module 105 may include at least one of an attitude sensor (the attitude sensor may include a motion sensor such as a three-axis gyroscope, a three-axis accelerometer, a three-axis electronic compass), a distance sensor (e.g., an infrared sensor), and a camera. The preset state may include any one of a lifted state of the mobile terminal 100, a distance between the mobile terminal 100 and a face of the user being within a preset distance range (e.g., 10-70 cm), and a face image detected by the mobile terminal 100. Wherein, attitude sensor can detect whether mobile terminal 100 is in the state of lifting up, and distance sensor can detect whether the distance between mobile terminal 100 and the user's face is in predetermineeing distance range, and the camera can detect whether take the face image.
Optionally, the preset state includes at least one of the following:
the mobile terminal 100 is in a lifted state, and the distance between the mobile terminal 100 and the face of the user is within a preset distance range.
Whether the mobile terminal 100 is in a lifted state is detected, specifically, whether the mobile terminal 100 moves according to a preset track is detected by an attitude sensor of the mobile terminal, and whether the acceleration of the mobile terminal 100 in the moving process according to the preset track exceeds a preset acceleration threshold is detected.
And the AP101 is further configured to start a biological image acquisition instruction when the mobile terminal 100 is in a preset state, acquire a face image according to the biological image acquisition instruction, and acquire an iris image.
In the embodiment of the present invention, when the mobile terminal 100 is in the preset state, the biometric image acquisition instruction is started to perform biometric authentication. The user does not need to trigger and start the biological image acquisition instruction, the speed of biological identification can be improved, and the user experience is improved.
Optionally, the AP101 is further configured to verify whether a matching degree between the face image and the second face template is greater than a second preset threshold, and verify whether a matching degree between the iris image and the second iris template is greater than the second preset threshold.
After the AP101 performs the unlocking operation on the mobile terminal 100, it is verified whether the matching degree between the face image and the second face template is greater than a second preset threshold, and it is verified whether the matching degree between the iris image and the second iris template is greater than the second preset threshold.
Optionally, the second preset threshold is greater than the first preset threshold, for example, the first preset threshold may be set to 70%, and the second preset threshold may be set to 90%.
Optionally, the second face template includes a face fine feature template, and the second iris template includes an iris fine feature template.
The mode of verifying whether the matching degree of the face image and the second face template is greater than a second preset threshold by the AP101 is specifically as follows: the AP101 extracts the fine human face features in the human face image, compares the extracted fine human face features with the fine human face feature template to obtain a human face matching degree, and compares whether the human face matching degree is greater than the first preset threshold value.
The way for the AP101 to verify whether the matching degree of the iris image and the second iris template is greater than the second preset threshold specifically is: the AP101 extracts iris thin characteristics in the iris image, compares the extracted iris thin characteristics with the iris thin characteristic template to obtain iris matching degree, and compares whether the iris matching degree is larger than a first preset threshold value.
And the AP101 is further configured to determine that the payment verification is passed when the matching degree between the face image and the second face template is greater than a second preset threshold value and/or when the matching degree between the iris image and the second iris template is greater than the second preset threshold value.
In one embodiment, both the face and the iris are verified simultaneously, and when both are verified, it is determined that the payment verification is passed. Through dual biometric authentication, the security of payment can be improved.
In another embodiment, when one of the face recognition and the iris recognition is verified, it is determined that the payment verification is passed, and the payment speed can be increased.
The AP101 is further configured to allow the mobile terminal 100 to perform the biometric exemption payment within a preset time period after the payment verification is determined to pass.
In the preset time period, if the user starts the payment application and uses the payment application to carry out mobile payment, the payment can be directly carried out without repeatedly acquiring the biological image of the user. The payment application is an application that can make mobile payment through the payment application, for example, WeChat, Paibao, Apple Payment (Apple Pay), and the like. Optionally, when the biometric-free payment is performed, the payment application is required to still run in the foreground, so that a safety risk caused by the fact that the payment application runs the mobile terminal to perform the biometric-free payment when running in the background is avoided. Wherein the preset time period may be set to 30 seconds, 1 minute, 2 minutes, 5 minutes, etc.
The payment is free from biometric identification, namely, when the payment is confirmed, the payment is directly carried out without carrying out biometric identification verification again. In the embodiment of the invention, after the screen is successfully unlocked, the verification of the face thin characteristic and the iris thin characteristic is carried out, and when one or two of the face thin characteristic and the iris thin characteristic are successfully verified, the payment verification is determined to be passed. When the payment is carried out by adopting the payment application in the follow-up process, the biological acquisition and the identification verification are not required to be carried out again (the biological identification verification can be one or a plurality of combinations of face identification verification and iris identification verification), the payment speed of the user can be improved, and the user experience is improved.
In the embodiment of the invention, after a face image is collected by a face recognition module 102 and an iris image is collected by an iris recognition module 103, an AP101 firstly extracts a face coarse feature from the face image, extracts an iris coarse feature from the iris image, matches the extracted face coarse feature with the face coarse feature template to obtain a face coarse feature matching degree, matches the extracted iris coarse feature with the iris coarse feature template to obtain an iris coarse feature matching degree, and determines that unlocking is successful when one of the face coarse feature matching degree and the iris coarse feature matching degree is greater than a first preset threshold value. According to the embodiment of the invention, the face coarse characteristic verification and the iris coarse characteristic verification can be simultaneously carried out, and the unlocking success can be determined as long as one of the face coarse characteristic verification and the iris coarse characteristic verification is successful. By implementing the embodiment of the invention, the unlocking speed can be improved.
When the unlocking is determined to be successful, the AP101 extracts the face thin features from the face image, extracts the iris thin features from the iris image, matches the extracted face thin features with the face thin feature template to obtain a face thin feature matching degree, matches the extracted iris thin features with the iris thin feature template to obtain an iris thin feature matching degree, and determines that the payment verification is passed when at least one of the face thin feature matching degree and the iris thin feature matching degree is greater than a second preset threshold value. According to the embodiment of the invention, the terminal can be unlocked and the biometric identification-free mobile payment can be carried out in a subsequent period of time through one-time biometric image acquisition. The number of times of collecting the biological images of the user is reduced, and meanwhile, the payment safety is guaranteed.
In the embodiment of the invention, when the mobile terminal is in a standby screen locking state, the collected face image and iris image can be subjected to coarse feature verification and fine feature verification, when the coarse feature verification passes, the screen of the mobile terminal can be unlocked, when the fine feature verification passes, the biometric-free payment can be carried out for a period of time after the fine feature verification passes, when a user uses payment application to pay, the biometric image does not need to be collected again to carry out biometric verification, the number of times of collecting the biometric image of the user is reduced, the payment speed of the user can be improved, and the user experience is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a biometric identification method according to an embodiment of the present invention. The method is applied to a mobile terminal comprising an application processor AP, a face recognition module and an iris recognition module, and as shown in FIG. 2, the method comprises the following steps.
201, when the mobile terminal is in a screen locking standby state, the mobile terminal collects a face image and an iris image according to a biological image collection instruction.
202, the mobile terminal verifies whether the matching degree of the face image and the first face template is greater than a first preset threshold value or not, and verifies whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value or not.
And 203, if the matching degree of the face image and the first face template is greater than a first preset threshold value, or the matching degree of the iris image and the first iris template is greater than the first preset threshold value, the mobile terminal performs unlocking operation on the mobile terminal.
The face image and the iris image can be matched and verified at the same time, and when one of the face image and the iris image is verified successfully, unlocking can be performed, so that the screen unlocking speed is increased.
Optionally, the first face template includes a face coarse feature template, and the first iris template includes an iris coarse feature template.
And 204, if the matching degree of the face image and the first face template is smaller than or equal to a first preset threshold value, and the matching degree of the iris image and the first iris template is smaller than or equal to the first preset threshold value, the mobile terminal determines that the unlocking is failed.
The steps in fig. 2 can be implemented specifically by referring to the device embodiments shown in fig. 1a to 1d, and are not described herein again.
By implementing the method shown in fig. 2, when the mobile terminal is in a lock screen standby state, two biometric identification modes, namely face identification and iris identification, can be started to perform biometric identification simultaneously, and as long as any one of the biometric identification passes verification, the mobile terminal can be unlocked, so that the unlocking success rate of the biometric identification can be improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of another biometric identification method according to the embodiment of the invention. The method is applied to a mobile terminal comprising an application processor AP, a face recognition module, an iris recognition module and a sensor module, and the method of fig. 3 is further optimized on the basis of fig. 2, as shown in fig. 3, and includes the following steps.
301, detecting whether the mobile terminal is in a preset state or not when the mobile terminal is in a screen locking standby state. If not, go to step 302. If yes, go to step 303.
Optionally, the preset state includes at least one of the following:
the mobile terminal is in a lifting state, and/or the distance between the mobile terminal and the face of the user is within a preset distance range.
302, the mobile terminal does not initiate the biometric image capture command.
303, the mobile terminal starts a biological image acquisition instruction, acquires a face image and acquires an iris image according to the biological image acquisition instruction.
And 304, the mobile terminal verifies whether the matching degree of the face image and the first face template is greater than a first preset threshold value or not, and verifies whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value or not.
305, if the matching degree of the face image and the first face template is greater than a first preset threshold value, or the matching degree of the iris image and the first iris template is greater than the first preset threshold value, the mobile terminal performs an unlocking operation on the mobile terminal.
And 306, if the matching degree of the face image and the first face template is smaller than or equal to a first preset threshold value, and the matching degree of the iris image and the first iris template is smaller than or equal to the first preset threshold value, the mobile terminal determines that the unlocking is failed.
The steps in fig. 3 can be implemented specifically by referring to the device embodiments shown in fig. 1a to 1d, and are not described herein again.
By implementing the method shown in fig. 3, when the mobile terminal is in a lock screen standby state, the face recognition and the iris recognition can be started to perform the biological recognition at the same time, and as long as one biological recognition passes the verification, the unlocking operation can be performed on the mobile terminal, so that the unlocking success rate of the biological recognition can be improved. And when the mobile terminal is in a preset state, starting a biological image acquisition instruction to carry out biological identification verification. The user does not need to trigger and start the biological image acquisition instruction, the speed of biological identification can be improved, and the user experience is improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of another biometric identification method according to the embodiment of the invention. The method is applied to a mobile terminal comprising an application processor AP, a face recognition module and an iris recognition module, and the method of fig. 4 is further optimized on the basis of fig. 2, as shown in fig. 4, and includes the following steps.
401, when the mobile terminal is in a screen locking standby state, the mobile terminal collects a face image and collects an iris image according to a biological image collection instruction.
402, the mobile terminal verifies whether the matching degree of the face image and the first face template is greater than a first preset threshold value, and verifies whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value.
Optionally, the first face template includes a face coarse feature template, and the first iris template includes an iris coarse feature template.
And 403, if the matching degree of the face image and the first face template is greater than a first preset threshold, or the matching degree of the iris image and the first iris template is greater than the first preset threshold, the mobile terminal performs an unlocking operation on the mobile terminal.
404, if the matching degree between the face image and the first face template is less than or equal to a first preset threshold, and the matching degree between the iris image and the first iris template is less than or equal to the first preset threshold, the mobile terminal determines that the unlocking is failed.
405, after the mobile terminal performs the unlocking operation, the mobile terminal verifies whether the matching degree of the face image and the second face template is greater than a second preset threshold value, and verifies whether the matching degree of the iris image and the second iris template is greater than the second preset threshold value.
Optionally, the second face template includes a face fine feature template, and the second iris template includes an iris fine feature template.
And 406, if the matching degree of the face image and the second face template is greater than a second preset threshold value, and/or the matching degree of the iris image and the second iris template is greater than the second preset threshold value, the mobile terminal determines that the payment verification is passed.
And 407, if the matching degree of the face image and the second face template is less than or equal to a second preset threshold value, and the matching degree of the iris image and the second iris template is less than or equal to the second preset threshold value, the mobile terminal determines that the payment verification cannot be passed. Execution continues with step 405.
And 408, the mobile terminal allows the mobile terminal to carry out the biometric exemption payment within a preset time period after the payment verification is determined to pass.
The steps in fig. 4 can be implemented specifically by referring to the device embodiments shown in fig. 1a to 1d, and are not described herein again.
And implementing the method shown in the figure 4, after the screen is successfully unlocked, verifying the thin face characteristic and the thin iris characteristic, and when one or two of the thin face characteristic and the thin iris characteristic are successfully verified, determining that the payment verification is passed. When payment is carried out by adopting payment application in the follow-up process, biological image acquisition and identification verification are not required to be carried out again, so that the payment speed of the user can be improved, and the user experience is improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention. The mobile terminal 500 includes a face recognition module 501, an iris recognition module 502, an application processor AP503, and a memory 504. The face recognition module 501, the iris recognition module 502, the application processor AP503, and the memory 504 may be connected by a communication bus 505, the memory 504 being configured to store one or more programs configured to be executed by the AP503, the programs including instructions for performing some or all of the method steps described above in fig. 2-4.
By implementing the mobile terminal shown in fig. 5, when the mobile terminal is in a lock screen standby state, two biometric identification modes, namely face identification and iris identification, can be used for biometric identification at the same time, and as long as any one of the biometric identification modes passes verification, the mobile terminal can be unlocked, so that the unlocking success rate of the biometric identification can be improved.
Referring to fig. 6, fig. 6 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention. The mobile terminal 600 comprises an acquisition unit 601, a verification unit 602 and an unlocking unit 603, wherein:
the acquisition unit 601 is configured to acquire a face image and an iris image according to the biological image acquisition instruction when the mobile terminal 600 is in a screen-locked standby state.
The verification unit 602 is configured to verify whether a matching degree between the face image and the first face template is greater than a first preset threshold, and verify whether a matching degree between the iris image and the first iris template is greater than the first preset threshold.
An unlocking unit 603, configured to perform an unlocking operation on the mobile terminal 600 when the matching degree between the face image and the first face template is greater than a first preset threshold, or when the matching degree between the iris image and the first iris template is greater than the first preset threshold.
The mobile terminal 600 may be implemented with reference to the method embodiments shown in fig. 2 to 4, and repeated descriptions are omitted here.
By implementing the mobile terminal shown in fig. 6, when the mobile terminal is in a lock screen standby state, two biometric identification modes, namely face identification and iris identification, can be used for biometric identification at the same time, and as long as any one of the biometric identification modes passes verification, the mobile terminal can be unlocked, so that the unlocking success rate of the biometric identification can be improved.
As shown in fig. 7, for convenience of description, only the parts related to the embodiment of the present invention are shown, and details of the specific technology are not disclosed, please refer to the method part in the embodiment of the present invention. The mobile terminal may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), a vehicle-mounted computer, and the like, taking the mobile terminal as the mobile phone as an example:
fig. 7 is a block diagram illustrating a partial structure of a mobile phone related to a mobile terminal according to an embodiment of the present invention. Referring to fig. 7, the handset includes: 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 handset configuration shown in fig. 7 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile phone in detail with reference to fig. 7:
in General, RF circuit 910 may be used for the reception and transmission of information, RF circuit 910 may include, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a low Noise Amplifier (L w Noise Amplifier, L NA), a duplexer, and the like.
The memory 920 may be used to store software programs and modules, and the processor 980 may execute various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 920. The memory 920 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile phone, and the like. Further, the memory 920 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The input unit 930 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 930 may include a fingerprint recognition module 931, a touch display 932, a face recognition module 933, an iris recognition module 934, and other input devices 935. Fingerprint identification module 931, can gather the fingerprint data of user above it. Fingerprint identification module 931 can include optics fingerprint identification module, electric capacity fingerprint identification module and ultrasonic fingerprint identification module. The face recognition module 933 is used for collecting face images, and the iris recognition module 934 is used for collecting iris images. In addition to the fingerprint recognition module 931, the touch display screen 932, the face recognition module 933, and the iris recognition module 934, the input unit 930 may further include other input devices 935. In particular, other input devices 935 may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 940 may include a display screen 941, and optionally, the display screen 941 may be configured in the form of a liquid crystal display (L required CrystalDisplay, &ttttranslation = L "&tttl &ttt/t &tttcd), an Organic light Emitting Diode (Organic L sight-Emitting Diode, O L ED), and the like, although in fig. 7, the fingerprint recognition module 931 and the display screen 941 are implemented as two separate parts to implement the input and input functions of the mobile phone, in some embodiments, the fingerprint recognition module 931 and the display screen 941 may be integrated to implement the input and play functions of the mobile phone.
The handset 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 that adjusts the brightness of the display screen 941 according to the brightness of ambient light, and a proximity sensor that turns off the display screen 941 and/or backlight when the mobile phone is moved to the ear. As one of the motion sensors 952, the acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the gesture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer, tapping), and the like. The mobile phone can also be provided with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer and an infrared sensor, which are not described in detail herein.
WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 970, and provides wireless broadband Internet access for the user. Although fig. 7 shows the WiFi module 970, it is understood that it does not belong to the essential constitution of the handset, and can be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 980 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 920 and calling data stored in the memory 920, thereby integrally monitoring the mobile phone. Alternatively, processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 980.
The handset also includes a power supply 990 (e.g., a battery) for supplying power to the various components, which may preferably be logically connected to the processor 980 via a power management system, thereby providing management of charging, discharging, and power consumption via the power management system.
The mobile phone further comprises a camera 9100, and the camera 9100 can comprise a front camera, an iris camera and a rear camera.
Although not shown, the mobile phone may further include a bluetooth module, a flash lamp, and the like, and the flash lamp may include a front flash lamp and a rear flash lamp, the front flash lamp may supplement light for the front camera, and the rear flash lamp may supplement light for the rear camera. The front-mounted flash lamp can comprise a front-mounted visible light flash lamp and a front-mounted infrared flash lamp, the front-mounted visible light flash lamp is used for supplementing light for the front-mounted camera, and the front-mounted infrared flash lamp is used for supplementing light for the iris camera.
Embodiments of the present invention also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to execute part or all of the steps of any one of the biometric methods as recited in the above method embodiments.
Embodiments of the present invention also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the biometric methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (13)
1. The utility model provides a mobile terminal which characterized in that, includes application processor AP, connects the face identification module and the iris identification module of AP, wherein:
the face recognition module is used for acquiring a face image according to a biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the iris identification module is used for acquiring an iris image according to the biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the AP is used for verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
the AP is further used for executing unlocking operation on the mobile terminal when the matching degree of the face image and the first face template is greater than the first preset threshold value or when the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
the AP is further used for verifying whether the matching degree of the face image and the second face template is greater than a second preset threshold value or not after the mobile terminal is unlocked, and verifying whether the matching degree of the iris image and the second iris template is greater than the second preset threshold value or not; the AP is further used for determining that the payment verification is passed when the matching degree of the face image and the second face template is greater than a second preset threshold value and/or when the matching degree of the iris image and the second iris template is greater than the second preset threshold value;
wherein the second preset threshold is greater than the first preset threshold.
2. The mobile terminal of claim 1,
the AP is also used for
And within a preset time period after the payment verification is determined to pass, allowing the mobile terminal to carry out biometric exemption payment.
3. The mobile terminal of claim 2, wherein the first face template comprises a face coarse feature template, the first iris template comprises an iris coarse feature template, the second face template comprises a face fine feature template, and the second iris template comprises an iris fine feature template.
4. A mobile terminal according to any of claims 1-3, characterized in that the mobile terminal further comprises a sensor module,
the sensor module is used for detecting whether the mobile terminal is in a preset state or not;
and the AP is also used for starting the biological image acquisition instruction when the mobile terminal is in the preset state, and acquiring a face image and an iris image according to the biological image acquisition instruction.
5. The mobile terminal according to claim 4, wherein the preset state comprises that the mobile terminal is in a lifted state, and/or that a distance between the mobile terminal and a face of a user is within a preset distance range.
6. A biometric identification method, comprising:
when the mobile terminal is in a screen locking standby state, acquiring a face image and an iris image according to a biological image acquisition instruction;
verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value or not, and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value or not;
if the matching degree of the face image and the first face template is greater than the first preset threshold value, or if the matching degree of the iris image and the first iris template is greater than the first preset threshold value, performing unlocking operation on the mobile terminal;
wherein after the unlocking operation is performed on the mobile terminal, the method further comprises: verifying whether the matching degree of the face image and a second face template is greater than a second preset threshold value or not, and verifying whether the matching degree of the iris image and a second iris template is greater than the second preset threshold value or not; if the matching degree of the face image and the second face template is greater than the second preset threshold value, and/or the matching degree of the iris image and the second iris template is greater than the second preset threshold value, determining that the payment verification is passed;
wherein the second preset threshold is greater than the first preset threshold.
7. The method of claim 6, further comprising:
and within a preset time period after the payment verification is determined to pass, allowing the mobile terminal to carry out biometric exemption payment.
8. The method of claim 7, wherein the first face template comprises a face coarse feature template, the first iris template comprises an iris coarse feature template, the second face template comprises a face fine feature template, and the second iris template comprises an iris fine feature template.
9. The method according to any one of claims 6-8, wherein before acquiring the face image and acquiring the iris image according to the biometric image acquisition instruction, the method comprises:
detecting whether the mobile terminal is in a preset state or not;
and if the mobile terminal is in the preset state, starting the biological image acquisition instruction, and executing the steps of acquiring the face image and the iris image according to the biological image acquisition instruction.
10. The method according to claim 9, wherein the preset state comprises that the mobile terminal is in a lifted state, and/or that a distance between the mobile terminal and a face of a user is within a preset distance range.
11. A mobile terminal is characterized by comprising an acquisition unit, a verification unit and an unlocking unit, wherein:
the acquisition unit is used for acquiring a face image and an iris image according to the biological image acquisition instruction when the mobile terminal is in a screen locking standby state;
the verification unit is used for verifying whether the matching degree of the face image and the first face template is greater than a first preset threshold value and verifying whether the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
the unlocking unit is used for executing unlocking operation on the mobile terminal when the matching degree of the face image and the first face template is greater than the first preset threshold value or when the matching degree of the iris image and the first iris template is greater than the first preset threshold value;
wherein the mobile terminal further comprises: the payment unit is used for verifying whether the matching degree of the face image and the second face template is greater than a second preset threshold value or not and verifying whether the matching degree of the iris image and the second iris template is greater than the second preset threshold value or not after the mobile terminal is unlocked; if the matching degree of the face image and the second face template is greater than the second preset threshold value, and/or the matching degree of the iris image and the second iris template is greater than the second preset threshold value, determining that the payment verification is passed;
wherein the second preset threshold is greater than the first preset threshold.
12. A mobile terminal comprising an application processor AP, a face recognition module connected to the AP, an iris recognition module, and a memory for storing one or more programs configured for execution by the AP, the programs comprising instructions for performing the method of any of claims 6-10.
13. A computer-readable storage medium for storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 6-10.
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| CN108615001A (en) * | 2018-04-19 | 2018-10-02 | 湖南德熠智能科技有限公司 | Applied to the face identification method on mobile terminal |
| CN108537032A (en) * | 2018-04-19 | 2018-09-14 | 湖南德熠智能科技有限公司 | A kind of face identification method |
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| CN108776753B (en) * | 2018-05-30 | 2020-09-29 | 北京小米移动软件有限公司 | Biometric identification method and device |
| CN108985035B (en) * | 2018-06-22 | 2020-07-07 | Oppo广东移动通信有限公司 | Control method and device for user operation authority, storage medium and electronic equipment |
| CN109190509B (en) | 2018-08-13 | 2023-04-25 | 创新先进技术有限公司 | Identity recognition method, device and computer readable storage medium |
| CN109246283A (en) * | 2018-09-04 | 2019-01-18 | Oppo广东移动通信有限公司 | Biological characteristic verification method, electronic device and computer readable storage medium |
| CN109739344B (en) * | 2018-11-20 | 2021-12-14 | 平安科技（深圳）有限公司 | Unlocking method, device and equipment based on eyeball motion track and storage medium |
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