CN107516070B - Biometric identification method and related product - Google Patents
Biometric identification method and related product Download PDFInfo
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- CN107516070B CN107516070B CN201710635934.6A CN201710635934A CN107516070B CN 107516070 B CN107516070 B CN 107516070B CN 201710635934 A CN201710635934 A CN 201710635934A CN 107516070 B CN107516070 B CN 107516070B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
Abstract
The embodiment of the invention relates to the technical field of mobile terminals, and discloses a biological identification method and a related product. In the embodiment of the invention, a multi-biometric identification module of the mobile terminal acquires a fingerprint image of a user, a processor analyzes the fingerprint image to determine whether the user wears gloves, if so, the multi-biometric identification module acquires face characteristic information of the user, and then the processor identifies the face characteristic information. Therefore, by implementing the embodiment of the invention, the fingerprint identification can be not carried out under the condition that the user wears the gloves, and the face identification is carried out to verify the identity of the user, so that the flexibility of the mobile terminal for carrying out the biological identification is improved, and the application range of the mobile terminal for carrying out the biological identification is expanded.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a biological identification method and a related product.
Background
With the development of mobile terminal technology, mobile terminals have played an increasingly important role in people's lives. In life, it is increasingly convenient to use mobile terminals to perform activities such as payment and office work.
However, while the mobile terminal brings convenience to the life of people, the mobile terminal also brings threats to information security and property security. In order to improve the safety degree of the mobile terminal, the fingerprint identification technology is applied to the mobile terminal, and after the fingerprint verification is passed, the user can perform operations such as payment and mailbox consulting, so that the safety degree of the mobile terminal is improved to a certain extent.
However, fingerprint recognition also has certain limitations. For example, if the finger of the user is stained with oil, wet, or damaged, the fingerprint identification cannot pass through, and thus the mobile terminal cannot be normally used.
Disclosure of Invention
The embodiment of the invention provides a biological identification method and a related product, which can improve the flexibility of biological identification of a mobile terminal and expand the application range of biological identification of the mobile terminal.
The first aspect of the embodiments of the present invention discloses a mobile terminal, which includes a processor and a multi-biometric module connected to the processor, wherein,
the multi-biometric identification module is used for acquiring a fingerprint image;
the processor to analyze the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification module is also used for acquiring the face feature information under the condition that the user wears the gloves;
the processor is further configured to identify the face feature information.
The second aspect of the embodiment of the invention discloses a biometric identification method, which comprises the following steps:
the method comprises the steps that a mobile terminal obtains a fingerprint image of a user;
analyzing the fingerprint image to determine whether a user is wearing a glove;
acquiring face feature information of a user under the condition that the user wears gloves;
and identifying the face feature information.
The third aspect of the embodiment of the invention discloses a biological identification method, which is applied to a mobile terminal comprising a processor and a plurality of biological identification modules, and the method comprises the following steps:
the multi-biometric identification module acquires a fingerprint image;
the processor analyzing the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification module acquires face feature information under the condition that a user wears gloves;
and the processor identifies the face feature information.
A fourth aspect of the present invention discloses a mobile terminal, including:
a multi-biometric identification unit for acquiring fingerprint images;
a processing unit for analyzing the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification unit is also used for acquiring the face feature information under the condition that the user wears gloves;
the processing unit is further configured to identify the face feature information.
A fifth aspect of the embodiments of the present invention discloses a mobile terminal, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps of the method disclosed in the second aspect.
A sixth aspect of the present embodiments discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to the second aspect, and the computer includes a mobile terminal.
A seventh aspect of embodiments of the present invention discloses a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in any one of the methods of the second aspect of embodiments of the present invention. The computer program product may be a software installation package, said computer comprising a mobile terminal.
In the embodiment of the invention, a multi-biometric identification module of the mobile terminal acquires a fingerprint image of a user, a processor analyzes the fingerprint image to determine whether the user wears gloves, if so, the multi-biometric identification module acquires face characteristic information of the user, and then the processor identifies the face characteristic information. Therefore, by implementing the embodiment of the invention, the fingerprint identification can be not carried out under the condition that the user wears the gloves, and the face identification is carried out to verify the identity of the user, so that the flexibility of the mobile terminal for carrying out the biological identification is improved, and the application range of the mobile terminal for carrying out the biological identification is expanded.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
fig. 3 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
fig. 4 is a schematic view of a scene for acquiring biometric information according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart illustrating a biometric identification method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of another biometric identification method disclosed in the embodiments of the present invention;
FIG. 7 is a schematic flow chart illustrating another biometric identification method according to an embodiment of the present disclosure;
fig. 8 is a block diagram of functional units of a mobile terminal according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention;
fig. 10 is a schematic structural diagram of another mobile terminal disclosed in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, 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, or apparatus.
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. Embodiments of the present invention will be described below with reference to the accompanying drawings.
The fingerprint identification can be not carried out under the condition that the user wears the gloves, and the face identification is carried out to verify the identity of the user, so that the flexibility of the mobile terminal for carrying out the biological identification is improved, and the application range of the mobile terminal for carrying out the biological identification is expanded. The following are detailed below.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a mobile terminal 100 according to an embodiment of the present invention. The mobile terminal 100 includes a processor 110 and a multi-biometric module 120, and the processor 110 is connected to the multi-biometric module 120 through a bus 130 so that the processor 110 and the multi-biometric module 120 can communicate with each other.
In the embodiment of the present invention, the processor 110 may be a Central Processing Unit (CPU), and in some embodiments, may also be referred to as an Application Processor (AP) to distinguish the processor from a baseband processor.
In the embodiment of the present invention, the multi-biometric identification module 120 is a combination of various biometric identification devices such as an iris identification module, a fingerprint identification module, a face identification module, and a vein identification module; in the embodiment of the present invention, the mobile terminal 100 can perform at least fingerprint recognition, face recognition and iris recognition, so the multi-biometric module 120 is a combination of at least three biometric devices; for example, when the mobile terminal 100 performs an unlocking operation, the iris information, the fingerprint information, and the face information of the user need to be verified, and the multi-biometric module may be composed of an iris recognition module, a fingerprint recognition module, and a face recognition module.
As an alternative embodiment, the multi-biometric module 120 may be composed of an iris recognition module 121, a fingerprint recognition module 122 and a front camera 123. The front-facing camera 123 may be configured to obtain face information of a user, so as to facilitate face recognition by the mobile terminal 100; the fingerprint identification module 122 can be integrated with the HOME key of the mobile terminal, so as to conveniently acquire the fingerprint information of the user; the iris recognition module 121 may be an infrared iris recognition module, and specifically includes an infrared fill-in light 1211 and an infrared camera 1212.
Referring to fig. 2, fig. 2 is another schematic structural diagram of a mobile terminal 100 according to an embodiment of the disclosure. In fig. 2, an iris recognition module 121, a fingerprint recognition module 122 and a front camera 123 are shown. As shown in fig. 2, the iris recognition module 121 is disposed on the front side of the mobile terminal 100 and above the display screen, and the iris recognition module 121 includes an infrared light supplement lamp 1211 and an infrared camera 1212, wherein when iris recognition is performed, the infrared light supplement lamp 1211 emits infrared light to irradiate on the iris, and the infrared light is reflected back to the infrared camera 1212 through the iris, so that the infrared camera 1212 can collect an iris image. According to the principle that the iris recognition module 121 recognizes through infrared light, the iris recognition can be successfully completed even under the condition that the ambient light intensity is weak and even under the dark environment.
In the embodiment of the present invention, the multi-biometric module 120 is configured to obtain a fingerprint image of a user.
A processor 110 for analyzing the fingerprint image to determine whether the user wears gloves.
The multi-biometric identification module 120 is further configured to obtain face feature information of the user when the user wears the glove;
the processor 110 is further configured to identify the face feature information.
In an embodiment of the present invention, the multi-biometric module may include an optical fingerprint sensor; when a finger of a user is placed on the optical fingerprint sensor, light emitted by the optical fingerprint sensor is reflected by the surface of the finger, and then the reflected light is received by the optical fingerprint sensor to obtain a fingerprint image of the user.
After acquiring the fingerprint image of the user, the processor 110 may first perform feature extraction on the fingerprint image, and match the extracted fingerprint feature information with a preset fingerprint information template; however, if the user wears the glove, the acquired fingerprint image does not reflect the fingerprint feature information of the user, and therefore the fingerprint image cannot be successfully matched with the preset fingerprint information template.
In this case, the processor 110 performs image processing on the fingerprint image and extracts texture information of the fingerprint image; the material of the glove is analyzed, so that the glove is usually made of fabric or leather, and if the material of the glove is fabric, the fabric has compact and regular texture information; if the glove is made of leather, the leather has irregular line textures and uniform pore texture distribution. Therefore, by carrying out image analysis on the fingerprint image and combining the texture characteristics of the glove material, whether the user wears the glove or not can be determined through the fingerprint image.
If the user wears the glove, it is known that fingerprint identification cannot be performed at this time, and therefore the mobile terminal 100 may perform identity authentication on the user through other biometric methods; for example, the mobile terminal 100 may obtain the facial feature information of the user through the multi-biometric module 120, and then perform authentication on the user according to the facial feature information of the user.
Therefore, the mobile terminal described in fig. 1 may perform face recognition instead of fingerprint recognition to verify the identity of the user when it is determined that the user wears gloves, so as to improve the flexibility of performing biometric recognition by the mobile terminal and expand the application range of performing biometric recognition by the mobile terminal.
Referring to fig. 3, fig. 3 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention. The mobile terminal 300 depicted in fig. 3 may be obtained on the basis of the mobile terminal depicted in fig. 1, wherein the mobile terminal 300 further comprises a memory 140 in comparison with the mobile terminal 100 depicted in fig. 1. Memory 140 is also coupled to bus 130 and thus may communicate with processor 110 and multi-biometric module 120.
In the embodiment of the present invention, the memory 140 is used for storing texture information templates of more than one glove material.
As an alternative embodiment, the processor 110, when analyzing the fingerprint image to determine whether the user is wearing the glove, may implement the following:
acquiring target texture information in the fingerprint image;
and matching the target texture information with the texture information template, and if the matching is successful, determining that the user wears the gloves.
In the embodiment of the invention, a user can adjust the security level setting of the mobile terminal according to specific use requirements, wherein the security level setting can be divided into: high security level, medium security level, and low security level. If the user has more important data in the mobile terminal, the security level may be selected to be set to a high security level. In the situation of high security level, when the mobile terminal is used for executing partial operation, various biological characteristic information of the user needs to be verified so as to accurately determine the identity of the user; in the low-security level scenario, the corresponding operation can be performed only by verifying the fingerprint or the face.
As an optional implementation manner, if the mobile terminal is currently in a high security level, fingerprint feature information, iris feature information and face feature information need to be verified, and after two kinds of identification of the three kinds of biological feature information pass, the operation requested by the user can be executed; then, when the user wears the glove, it is necessary that both the iris feature information and the face feature information are verified, so that the operation requested by the user can be performed. In the specific implementation process, the mobile terminal can simultaneously acquire the fingerprint characteristic information, the iris characteristic information and the face characteristic information of the user so as to reduce the time spent in the biometric identification process.
Referring to fig. 4, fig. 4 is a schematic view of a scene for acquiring biometric information according to an embodiment of the present invention. As an optional implementation manner, the mobile terminal 300 may simultaneously acquire the fingerprint feature information, the face feature information, and the iris feature information through the fingerprint recognition module 322, the iris recognition module 321, and the front camera 323. The iris recognition module 321 includes an infrared light supplement lamp 3211 and an infrared camera 3212. As shown in figure 4, when the user can put the finger on the fingerprint identification module to perform fingerprint identification, the upper part of the mobile terminal is leveled up, so that the infrared camera positioned on the upper part of the mobile terminal can acquire eye images of the user, the front camera can acquire face images of the user, and three types of biological characteristic information can be acquired simultaneously.
In the embodiment of the invention, after the face characteristic information of the user is successfully identified, the processor acquires the current security level setting of the mobile terminal, if the security level is set as a high security level, the iris image of the user is acquired, the iris image of the user is further utilized for iris identification, and after the iris identification is also successfully identified, the operation requested by the user (such as the operations of unlocking the mobile terminal, paying, checking photos and the like) can be executed; on the other hand, if the security level is set to a low security level, the operation requested by the user can be executed after the face recognition is successful.
In the embodiment of the present invention, the memory 140 is further configured to store an iris feature template.
As an optional implementation manner, when performing iris recognition, the processor 110 first extracts iris feature information in an iris image, then matches the iris feature information with an iris feature template, and if a matching degree of the iris feature information and the iris feature template exceeds a preset threshold, determines that the iris feature information is successfully recognized.
As the iris recognition speed is relatively slow, as an optional implementation manner, partial iris feature information in the iris feature information may be selected and matched with partial template information in the iris feature template, and if the matching degree of the partial iris feature information exceeds a preset threshold, it is determined that the iris feature in system recognition is successful.
Therefore, the mobile terminal described in fig. 3 may perform face recognition instead of fingerprint recognition to verify the identity of the user when it is determined that the user wears gloves, so as to improve the flexibility of performing biometric recognition by the mobile terminal and expand the application range of performing biometric recognition by the mobile terminal.
Referring to fig. 5, fig. 5 is a schematic flow chart of a biometric identification method according to an embodiment of the present invention. The biometric method may be performed by a mobile terminal. As shown in fig. 5, the biometric method may include the steps of:
501. a fingerprint image of a user is acquired.
In the implementation of the invention, after the fingerprint image of the user is acquired, the mobile terminal can firstly extract the characteristics of the fingerprint image and match the extracted fingerprint characteristic information with the preset fingerprint information template; however, if the user wears the glove, the acquired fingerprint image does not reflect the fingerprint feature information of the user, and therefore the fingerprint image cannot be successfully matched with the preset fingerprint information template.
502. The fingerprint image is analyzed to determine whether the user is wearing gloves.
Under the condition, the mobile terminal processes the fingerprint image and extracts the texture information of the fingerprint image; the material of the glove is analyzed, so that the glove is usually made of fabric or leather, and if the material of the glove is fabric, the fabric has compact and regular texture information; if the glove is made of leather, the leather has irregular line textures and uniform pore texture distribution. Therefore, by carrying out image analysis on the fingerprint image and combining the texture characteristics of the glove material, whether the user wears the glove or not can be determined through the fingerprint image.
503. And acquiring the face feature information of the user under the condition that the user wears the gloves.
If the user wears the gloves, the user can know that fingerprint identification cannot be performed at the moment, so that the mobile terminal can perform identity authentication on the user through other biological identification modes; for example, the mobile terminal may obtain face feature information of the user, and then perform identity authentication on the user according to the face feature information of the user.
504. And identifying the face feature information.
After the face feature information of the user is identified, the operation requested by the user, such as unlocking the mobile terminal, making payment, and the like, may be performed.
Therefore, the biometric identification method described in fig. 5 can perform face identification instead of fingerprint identification to verify the identity of the user when the user wears the gloves, so that the flexibility of biometric identification performed by the mobile terminal is improved, and the application range of biometric identification performed by the mobile terminal is expanded.
Referring to fig. 6, fig. 6 is a schematic flow chart of a biometric identification method according to an embodiment of the present invention. The biometric method may be performed by a mobile terminal. As shown in fig. 6, the biometric method may include the steps of:
601. a fingerprint image of a user is acquired.
In the implementation of the invention, after the fingerprint image of the user is acquired, the mobile terminal can firstly extract the characteristics of the fingerprint image and match the extracted fingerprint characteristic information with the preset fingerprint information template; however, if the user wears the glove, the acquired fingerprint image does not reflect the fingerprint feature information of the user, and therefore the fingerprint image cannot be successfully matched with the preset fingerprint information template.
602. The fingerprint image is analyzed to determine whether the user is wearing gloves.
Under the condition, the mobile terminal processes the fingerprint image and extracts the texture information of the fingerprint image; the material of the glove is analyzed, so that the glove is usually made of fabric or leather, and if the material of the glove is fabric, the fabric has compact and regular texture information; if the glove is made of leather, the leather has irregular line textures and uniform pore texture distribution. Therefore, by carrying out image analysis on the fingerprint image and combining the texture characteristics of the glove material, whether the user wears the glove or not can be determined through the fingerprint image.
603. And acquiring the face feature information of the user under the condition that the user wears the gloves.
If the user wears the gloves, the user can know that fingerprint identification cannot be performed at the moment, so that the mobile terminal can perform identity authentication on the user through other biological identification modes; for example, the mobile terminal may obtain face feature information of the user, and then perform identity authentication on the user according to the face feature information of the user.
604. And identifying the face feature information.
605. And after the face feature information is successfully identified, acquiring the current security level setting of the mobile terminal.
In the embodiment of the invention, a user can adjust the security level setting of the mobile terminal according to specific use requirements, wherein the security level setting can be divided into: high security level, medium security level, and low security level. If the user has more important data in the mobile terminal, the security level may be selected to be set to a high security level. In the situation of high security level, when the mobile terminal is used for executing partial operation, various biological characteristic information of the user needs to be verified so as to accurately determine the identity of the user; in the low-security level scenario, the corresponding operation can be performed only by verifying the fingerprint or the face.
606. And acquiring the iris image of the user under the condition that the safety level is set to be a high safety level.
As an optional implementation manner, if the mobile terminal is currently in a high security level, fingerprint feature information, iris feature information and face feature information need to be verified, and after two kinds of identification of the three kinds of biological feature information pass, the operation requested by the user can be executed; then, when the user wears the glove, it is necessary that both the iris feature information and the face feature information are verified, so that the operation requested by the user can be performed. In the specific implementation process, the mobile terminal can simultaneously acquire the fingerprint characteristic information, the iris characteristic information and the face characteristic information of the user so as to reduce the time spent in the biometric identification process.
607. And carrying out iris recognition according to the iris image.
Therefore, the biometric identification method described in fig. 6 can perform face identification instead of fingerprint identification to verify the identity of the user when the user wears the glove, so that the flexibility of biometric identification performed by the mobile terminal is improved, and the application range of biometric identification performed by the mobile terminal is expanded.
Referring to fig. 7, fig. 7 is a schematic flow chart illustrating a biometric identification method according to an embodiment of the present invention. The method can be applied to a mobile terminal with a plurality of biological identification modules, a memory and a processor. As shown in fig. 7, the biometric method may include the steps of:
701. many biological identification modules acquire user's fingerprint image, transmit fingerprint image to treater.
In the implementation of the invention, after the fingerprint image of the user is acquired, the mobile terminal can firstly extract the characteristics of the fingerprint image and match the extracted fingerprint characteristic information with the preset fingerprint information template; however, if the user wears the glove, the acquired fingerprint image does not reflect the fingerprint feature information of the user, and therefore the fingerprint image cannot be successfully matched with the preset fingerprint information template.
702. The processor sends a request message to the memory for obtaining a texture information template for the glove material.
703. The memory sends the texture information template to the processor.
704. The processor acquires target texture information in the fingerprint image, matches the target texture information with the texture information template, and if the matching is successful, informs a multi-biometric identification module user of wearing gloves.
Under the condition, the mobile terminal processes the fingerprint image and extracts the texture information of the fingerprint image; the material of the glove is analyzed, so that the glove is usually made of fabric or leather, and if the material of the glove is fabric, the fabric has compact and regular texture information; if the glove is made of leather, the leather has irregular line textures and uniform pore texture distribution. Therefore, by carrying out image analysis on the fingerprint image and combining the texture characteristics of the glove material, whether the user wears the glove or not can be determined through the fingerprint image. .
705. The multi-biometric identification module acquires the face feature information of the user under the condition that the user wears the gloves, and transmits the face feature information to the processor.
706. The processor identifies the face feature information.
If the user wears the gloves, the user can know that fingerprint identification cannot be performed at the moment, so that the mobile terminal can perform identity authentication on the user through other biological identification modes; for example, the mobile terminal may obtain face feature information of the user, and then perform identity authentication on the user according to the face feature information of the user.
Therefore, the biometric identification method described in fig. 7 may perform face identification instead of fingerprint identification to verify the identity of the user when it is determined that the user wears the glove, so as to improve the flexibility of biometric identification performed by the mobile terminal and expand the application range of biometric identification performed by the mobile terminal.
Referring to fig. 8, fig. 8 is a block diagram illustrating functional units of a mobile terminal 800 according to an embodiment of the present invention. As shown in fig. 8, the mobile terminal 800 may include a multi-biometric unit 801 and a processing unit 802, wherein,
a multi-biometric identification unit 801 for acquiring fingerprint images;
a processing unit 802 for analyzing the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification unit 801 is further configured to acquire face feature information when the user wears gloves;
the processing unit 802 is further configured to identify the face feature information.
It is understood that the mobile terminal includes hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The embodiment of the present invention may perform the division of the functional units for the mobile terminal according to the method example described above, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing 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. It should be noted that the division of the unit in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
As an alternative embodiment, the Processing Unit 802 may be a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. The multi-biometric identification unit 801 can be a combination of any biometric identification module, such as a fingerprint identification module, an iris identification module, a face identification module, and the like.
Therefore, the mobile terminal described in fig. 8 may perform face recognition instead of fingerprint recognition to verify the identity of the user when it is determined that the user wears gloves, so as to improve the flexibility of biometric recognition of the mobile terminal and expand the application range of biometric recognition of the mobile terminal.
Referring to fig. 9, fig. 9 is a schematic structural diagram of another mobile terminal 900 according to an embodiment of the disclosure. As shown, the mobile terminal comprises a processor 901, a memory 902, a communication interface 903 and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the above-described method embodiments.
For example, the program includes instructions for performing the steps of:
acquiring a fingerprint image of a user;
analyzing the fingerprint image to determine whether a user is wearing a glove;
acquiring face feature information of a user under the condition that the user wears gloves;
and identifying the face feature information.
As an alternative embodiment, in analyzing said fingerprint image to determine whether the user is wearing a glove, the program comprises instructions for carrying out in particular the following steps:
acquiring target texture information in the fingerprint image;
and matching the target texture information with a preset texture information template of more than one glove material, and if the matching is successful, determining that the user wears the gloves.
As an alternative embodiment, the program further comprises instructions for performing the steps of:
after the face feature information is successfully identified, acquiring the current security level setting of the mobile terminal;
acquiring an iris image of the user under the condition that the safety level is set to be a high safety level;
and carrying out iris recognition according to the iris image.
As an alternative embodiment, the program further comprises instructions for performing the steps of:
the safety level is set to be a low safety level, and the mobile terminal is unlocked under the condition that the face feature information is successfully identified;
and the safety level is set to be a high safety level, and the mobile terminal is unlocked under the condition that the face characteristic information and the iris characteristic information are successfully identified.
As an alternative embodiment, in terms of iris recognition from said iris image, the program comprises instructions specifically for carrying out the following steps:
extracting iris characteristic information in the iris image;
and matching the iris characteristic information with a preset iris characteristic template, and if the matching degree of the iris characteristic information and the iris characteristic template exceeds a preset threshold value, determining that the iris characteristic information is successfully identified.
Therefore, the mobile terminal described in fig. 9 may perform face recognition instead of fingerprint recognition to verify the identity of the user when it is determined that the user wears gloves, so as to improve the flexibility of biometric recognition of the mobile terminal and expand the application range of biometric recognition of the mobile terminal.
Referring to fig. 10, fig. 10 is a schematic structural diagram of another mobile terminal 1000 according to an embodiment of the disclosure. As shown in fig. 10, for convenience of illustration, only the portion related to the embodiment of the present invention is shown, and the detailed technical details are not disclosed, please refer to the method portion of the embodiment of the present invention. The terminal may be any mobile terminal including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), a vehicle-mounted computer, etc., taking the mobile terminal as a mobile phone as an example:
fig. 10 is a block diagram showing a partial structure of a cellular phone related to a mobile terminal provided by an embodiment of the present invention. Referring to fig. 10, the cellular phone includes: radio Frequency (RF) circuit 1001, memory 1002, input unit 1003, display unit 1004, sensor 1005, audio circuit 1006, wireless fidelity (WiFi) module 1007, processor 1008, and power supply 1009. Those skilled in the art will appreciate that the handset configuration shown in fig. 10 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. 10:
the RF circuit 1001 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information from a base station and then processes the received downlink information to the processor 1008; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 1001 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 1001 may also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The memory 1002 may be used to store software programs and modules, and the processor 1008 executes various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 1002. The memory 1002 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 1002 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 1003 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 1003 may include a touch panel 10031 and a multi-biometric module 10032. The touch panel 10031, also referred to as a touch screen, can collect touch operations performed by a user on or near the touch panel 10031 (e.g., operations performed by the user on or near the touch panel 10031 by using a finger, a stylus, or any other suitable object or accessory), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 10031 may include two parts, namely, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 1008, and can receive and execute commands from the processor 1008. In addition, the touch panel 10031 may be implemented by various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. Except for touch panel 10031, input unit 1003 can also include many biological identification module 10032, and many biological identification module 10032 contains face identification module, fingerprint identification module, iris identification module etc.
The display unit 1004 may be used to display information input by the user or information provided to the user and various menus of the cellular phone. The Display unit 1004 may include a Display panel 10041, and optionally, the Display panel 10041 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 10031 can cover the display panel 10041, and when the touch panel 10031 detects a touch operation thereon or nearby, the touch operation can be transmitted to the processor set 1008 to determine the type of the touch event, and then the processor set 1008 can provide a corresponding visual output on the display panel 10041 according to the type of the touch event. Although in fig. 10, the touch panel 10031 and the display panel 10041 are two independent components for implementing the input and output functions of the mobile phone, in some embodiments, the touch panel 10031 and the display panel 10041 may be integrated for implementing the input and output functions of the mobile phone.
The handset may also include at least one sensor 1005, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 10041 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 10041 and/or the backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The audio circuitry 1006, speaker 10061, microphone 10062 can provide an audio interface between the user and the cell phone. The audio circuit 1006 may transmit the electrical signal converted from the received audio data to the speaker 10061, and the audio signal is converted by the speaker 10061 to be output as a sound signal; on the other hand, the microphone 10062 converts the collected sound signals into electrical signals, converts the electrical signals into audio data after being received by the audio circuit 1006, and then outputs the audio data to the processor set 1008 for processing, and then transmits the audio data to, for example, another mobile phone through the RF circuit 1001, or outputs the audio data to the memory 1002 for further processing.
WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to send and receive e-mails, browse webpages, access streaming media and the like through the WiFi module 1007, and provides wireless broadband Internet access for the user. Although fig. 10 shows the WiFi module 1007, it is understood that it does not belong to the essential constitution of the handset, and it can be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 1008 is a control center of the mobile phone, and the processor 1008 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 1002 and calling data stored in the memory 1002, thereby performing overall monitoring of the mobile phone. Optionally, processor 1008 may include one or more processing units; preferably, the processor 1008 may integrate an application processor, which handles primarily the operating system, user interface, applications, etc., and a modem processor, which handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 1008.
The handset also includes a power source 1009 (e.g., a battery) for providing power to the various components, and preferably the power source is logically connected to the processor 1008 via a power management system, so that functions such as managing charging, discharging, and power consumption are performed via the power management system.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.
In the embodiments shown in fig. 5 to fig. 7, the method flows of the steps may be implemented based on the structure of the mobile phone.
In the embodiment shown in fig. 8, the functions of the units can be implemented based on the structure of the mobile phone.
For example, the processor 1008 may invoke a computer program stored in the memory 1002 to perform the following operations:
the method comprises the steps that a terminal acquires a fingerprint image of a user;
analyzing the fingerprint image to determine whether a user is wearing a glove;
acquiring face feature information of a user under the condition that the user wears gloves;
and identifying the face feature information.
As an alternative embodiment, the processor 1008 may invoke a computer program stored in the memory 1002, further for performing the following operations:
after the face feature information is successfully identified, acquiring the current security level setting of the mobile terminal;
acquiring an iris image of the user under the condition that the safety level is set to be a high safety level;
and carrying out iris recognition according to the iris image.
As an alternative embodiment, the processor 1008 may invoke a computer program stored in the memory 1002, further for performing the following operations:
the safety level is set to be a low safety level, and the mobile terminal is unlocked under the condition that the face feature information is successfully identified;
and the safety level is set to be a high safety level, and the mobile terminal is unlocked under the condition that the face characteristic information and the iris characteristic information are successfully identified.
As an alternative embodiment, in the aspect of analyzing the fingerprint image to determine whether the user wears a glove, the processor 1008 may invoke a computer program stored in the memory 1002, specifically for performing the following operations:
acquiring target texture information in the fingerprint image;
and matching the target texture information with a preset texture information template of more than one glove material, and if the matching is successful, determining that the user wears the gloves.
As an alternative implementation, in the aspect of iris recognition according to the iris image, the processor 1008 may call a computer program stored in the memory 1002, and specifically is configured to perform the following operations:
extracting iris characteristic information in the iris image;
and matching the iris characteristic information with a preset iris characteristic template, and if the matching degree of the iris characteristic information and the iris characteristic template exceeds a preset threshold value, determining that the iris characteristic information is successfully identified.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
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 methods as recited in the above method embodiments. The computer program product may be a software installation package, said computer comprising a mobile terminal.
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 (15)
1. A mobile terminal, comprising a processor and a multi-biometric module connected to the processor, wherein,
the multi-biometric identification module is used for acquiring a fingerprint image;
the processor to analyze the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification module is also used for acquiring the face feature information under the condition that the user wears the gloves;
the processor is also used for identifying the face feature information;
wherein the mobile terminal further comprises a memory connected with the processor;
the memory is used for storing texture information templates of more than one glove material;
in said analyzing the fingerprint image to determine whether the user is wearing a glove, the processor is specifically configured to:
acquiring target texture information in the fingerprint image;
and matching the target texture information with the texture information template, and if the matching is successful, determining that the user wears the gloves.
2. The mobile terminal of claim 1,
the processor is further used for acquiring the current security level setting of the mobile terminal after the face feature information is successfully identified;
the multi-biometric identification module is also used for acquiring an iris image under the condition that the security level is set to be a high security level;
the processor is further configured to perform iris recognition based on the iris image.
3. The mobile terminal of claim 2,
the memory is also used for storing an iris characteristic template;
in the aspect of performing iris recognition according to the iris image, the processor is specifically configured to:
extracting iris characteristic information in the iris image; and matching the iris characteristic information with the iris characteristic template, and if the matching degree of the iris characteristic information and the iris characteristic template exceeds a preset threshold value, determining that the iris characteristic information is successfully identified.
4. The mobile terminal of claim 3,
the processor is further configured to unlock the mobile terminal when the security level is set to a low security level and the face feature information is successfully identified;
the processor is further configured to set the security level to a high security level, and unlock the mobile terminal when the face feature information and the iris feature information are both successfully identified.
5. A biometric identification method, comprising:
the method comprises the steps that a mobile terminal obtains a fingerprint image of a user;
analyzing the fingerprint image to determine whether a user is wearing a glove;
acquiring face feature information of a user under the condition that the user wears gloves;
identifying the face feature information;
the analyzing the fingerprint image to determine whether a user is wearing a glove comprises:
acquiring target texture information in the fingerprint image;
and matching the target texture information with a preset texture information template of more than one glove material, and if the matching is successful, determining that the user wears the gloves.
6. The method of claim 5, further comprising:
after the face feature information is successfully identified, acquiring the current security level setting of the mobile terminal;
acquiring an iris image of the user under the condition that the safety level is set to be a high safety level;
and carrying out iris recognition according to the iris image.
7. The method of claim 6, wherein the iris recognition from the iris image comprises:
extracting iris characteristic information in the iris image;
and matching the iris characteristic information with a preset iris characteristic template, and if the matching degree of the iris characteristic information and the iris characteristic template exceeds a preset threshold value, determining that the iris characteristic information is successfully identified.
8. The method of claim 7, further comprising:
the safety level is set to be a low safety level, and the mobile terminal is unlocked under the condition that the face feature information is successfully identified;
and the safety level is set to be a high safety level, and the mobile terminal is unlocked under the condition that the face characteristic information and the iris characteristic information are successfully identified.
9. A biometric identification method applied to a mobile terminal comprising a processor and a multi-biometric identification module, the method comprising:
the multi-biometric identification module acquires a fingerprint image;
the processor analyzing the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification module acquires face feature information under the condition that a user wears gloves;
the processor identifies the face feature information;
wherein the mobile terminal further comprises a memory;
the processor analyzing the fingerprint image to determine whether a user is wearing a glove, comprising:
the processor acquires target texture information in the fingerprint image; and matching the target texture information with texture information templates of more than one glove material stored in the memory, and if the matching is successful, determining that the user wears the glove.
10. The method of claim 9, further comprising:
the processor acquires the current security level setting of the mobile terminal after the face feature information is successfully identified;
the multi-biometric identification module acquires an iris image under the condition that the security level is set to be a high security level;
and the processor performs iris recognition according to the iris image.
11. The method of claim 10, wherein the processor performs iris recognition from the iris image, comprising:
the processor extracts iris characteristic information in the iris image; and matching the iris characteristic information with the iris characteristic template stored in the memory, and determining that the iris characteristic information is successfully identified if the matching degree of the iris characteristic information and the iris characteristic template exceeds a preset threshold value.
12. The method of claim 11, further comprising:
the processor unlocks the mobile terminal under the condition that the safety level is set to be a low safety level and the face feature information is successfully identified;
and the processor unlocks the mobile terminal under the condition that the safety level is set to be a high safety level and the face characteristic information and the iris characteristic information are both successfully identified.
13. A mobile terminal, comprising:
a multi-biometric identification unit for acquiring fingerprint images;
a processing unit for analyzing the fingerprint image to determine whether a user is wearing a glove;
the multi-biometric identification unit is also used for acquiring the face feature information under the condition that the user wears gloves;
the processing unit is also used for identifying the face feature information;
in said analyzing the fingerprint image to determine whether the user is wearing a glove, the processing unit is specifically configured to:
acquiring target texture information in the fingerprint image;
and matching the target texture information with the texture information template, and if the matching is successful, determining that the user wears the gloves.
14. A mobile terminal comprising a processor, memory, a communications interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of the method of any of claims 5 to 8.
15. A computer-readable storage medium, characterized in that it stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any of claims 5 to 8, the computer comprising a mobile terminal.
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| CN109063604A (en) * | 2018-07-16 | 2018-12-21 | 阿里巴巴集团控股有限公司 | A kind of face identification method and terminal device |
| CN111105538B (en) * | 2018-10-25 | 2021-12-24 | 杭州海康威视数字技术股份有限公司 | Door lock control method based on face recognition and door lock |
| CN112668511A (en) * | 2020-12-31 | 2021-04-16 | 深兰盛视科技（苏州）有限公司 | Identity recognition method and device, electronic equipment and storage medium |
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| KR102402146B1 (en) * | 2015-04-21 | 2022-05-26 | 삼성전자주식회사 | Method and apparatus for sensing fingerprints |
| CN106372856A (en) * | 2016-08-31 | 2017-02-01 | 北京汇通天下物联科技有限公司 | Driver work attendance method and driver work attendance system |
| CN106843564A (en) * | 2016-12-26 | 2017-06-13 | 普联技术有限公司 | The control method and device of gloves pattern, touch control device |
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