CN110852139B - Biometric identification method, device, apparatus and storage medium - Google Patents
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Abstract
The present disclosure provides a biometric identification method, apparatus, device, and storage medium. Constructing a biological feature recognition framework based on the dynamic modularized system specification; in response to the biometric feature being selected for use, invoking a biometric feature identification service, the biometric feature identification service belonging to a service layer in a biometric feature identification framework; invoking a biometric feature corresponding to the biometric feature through the biometric feature recognition service, the biometric feature being comprised of one or more modules in a biometric feature recognition framework; and acquiring a biometric result based on the biometric component. Therefore, based on the biological characteristic recognition framework realized by the dynamic modularized system specification, the modularized management of the biological characteristic recognition component can be realized, the coupling property of the biological characteristic recognition component is reduced, and the reusability of the module is improved.
Description
Technical Field
The present disclosure relates to the field of biometric identification, and in particular, to a biometric identification method, apparatus, device, and storage medium.
Background
In the prior art, the biological feature recognition functions such as fingerprints, faces, voiceprints, irises, palmprints, eye prints and the like cannot be well managed in a modularized mode, and each biological feature recognition service module is different in implementation of each frame, so that the biological feature recognition service modules are administrative and very large in business logic, cannot be effectively unified and provided for a developer as a service system, and accordingly thresholds for application and maintenance of the developer are improved.
Specifically, fingerprints, faces, voiceprints and the like all need to realize own business processes and serve as local services to provide capability for upper-layer applications, but the complexity of the implementation is different, and many general processes cannot be unified for interface abstraction, so that the maintenance cost is greatly increased. In addition, biological feature recognition services such as fingerprints, faces, voiceprints and the like cannot be well decoupled due to too complicated services, so that reusability is poor. Once a biometric service fails to work due to internal anomalies, it is completely impossible to provide necessary support for the upper layer, and it may also cause an abnormal exit of the upper layer application.
In addition, the biometric identification service itself ensures the security of interface call, external call cannot be effectively standardized and restrained, and the biometric identification service does not uniformly abstract the general flow, so that each service is overlapped, and the operation cost is increased. In addition, there is no version management mechanism and no dynamic management mechanism for biometric services.
Disclosure of Invention
It is an object of the present disclosure to propose a biometric identification solution which solves at least one of the above mentioned problems.
According to a first aspect of the present disclosure, there is provided a biometric identification method comprising: constructing a biological feature recognition framework based on the dynamic modularized system specification; in response to the biometric feature being selected for use, invoking a biometric feature identification service, the biometric feature identification service belonging to a service layer in a biometric feature identification framework; invoking a biometric feature corresponding to the biometric function through a biometric service, the biometric feature being comprised of one or more modules in a biometric frame; and acquiring a biometric result based on the biometric component.
Optionally, the biometric function comprises at least one of: a fingerprint identification function; face recognition function; voiceprint recognition function; an iris recognition function; a palmprint recognition function; and an eye pattern recognition function.
Optionally, the step of invoking the biometric service comprises: in response to the biometric function being selected, invoking an application programming interface corresponding to the biometric function; and the application programming interface invokes the biometric service via the interprocess communication request.
Optionally, the step of acquiring the biometric result based on the biometric component comprises: the biological characteristic recognition component is abutted with the biological characteristic recognition adapting component corresponding to the biological characteristic recognition function; the biometric adaptation part is communicated with the corresponding biometric sensor driving part to instruct the biometric sensor driving part to perform biometric identification.
Optionally, the biometric framework is further configured to verify whether the biometric component meets a security criterion, and/or the biometric framework is further configured to manage operation of the biometric component.
Optionally, the biometric component is an ELF format file, so that the biometric framework can acquire and dynamically register and manage.
Optionally, the biometric component is located in a different namespace than the biometric service and/or the different biometric component is located in a different namespace.
Optionally, the biometric component has a corresponding service interface, and the biometric component is accessed by invoking the service interface.
Optionally, the biometric identification method further comprises: the key words of the virtual functions are used for declaring the service interface, wherein when the service interface is called, additional virtual function tables are pointed, and the virtual function tables are created by a compiler and contain the memory addresses of all virtual functions of a specific type.
Optionally, the interdependencies between different modules in the biometric framework are determined by a namespace, the method further comprising: version information is configured for the module, wherein the import module is configured to be able to reference all exposed classes within the same version range.
Optionally, the biometric framework is adapted for an operating system compatible with the portable operating system interface.
According to a second aspect of the present disclosure, there is also provided a biometric identification method comprising: invoking a biometric service in response to the biometric function being selected, the biometric service belonging to a service layer in a biometric framework; invoking, by the biometric service, a biometric component corresponding to the biometric function, the biometric component being comprised of one or more modules in the biometric framework; and acquiring a biometric result based on the biometric component.
According to a third aspect of the present disclosure, there is also provided a biometric identification device, comprising: the frame construction unit is used for constructing a biological feature recognition frame based on the dynamic modularized system specification; a first calling unit, configured to call a biometric service in response to the biometric function being selected, where the biometric service belongs to a service layer in a biometric framework; a second calling unit for calling a biometric feature corresponding to the biometric function through a biometric service, the biometric feature being constituted by one or more modules in a biometric frame; and an identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification means.
Optionally, the biometric function comprises at least one of: a fingerprint identification function; face recognition function; voiceprint recognition function; an iris recognition function; a palmprint recognition function; and an eye pattern recognition function.
Optionally, the first calling unit includes: an interface calling unit for calling an application programming interface corresponding to the biometric feature recognition function in response to the biometric feature recognition function being selected; and a service calling unit for calling the biometric service through the inter-process communication request.
Optionally, the recognition result obtaining unit interfaces with a biometric adaptation part corresponding to the biometric function through the biometric adaptation part, and communicates with the corresponding biometric sensor driving part through the biometric adaptation part to instruct the biometric sensor driving part to perform biometric.
Optionally, the biometric framework is further configured to verify whether the biometric component meets a security criterion, and/or the biometric framework is further configured to manage operation of the biometric component.
Optionally, the biometric component is an ELF format file, so that the biometric framework can acquire and dynamically register and manage.
Optionally, the biometric component is located in a different namespace than the biometric service and/or the different biometric component is located in a different namespace.
Optionally, the biometric component has a corresponding service interface, and the biometric component is accessed by invoking the service interface.
Optionally, the biometric identification device further comprises: and the declaration unit is used for declaring the service interface by using the keywords of the virtual functions, wherein when the service interface is called, additional virtual function tables are pointed, and the virtual function tables are created by the compiler and contain the memory addresses of all virtual functions of a specific type.
Optionally, the interdependencies between different modules in the biometric framework are determined by a namespace, the apparatus further comprising: and the configuration unit is used for configuring version information for the module, wherein the importing module is configured to be capable of referencing all the exposed classes in the same version range.
Optionally, the biometric framework is adapted for an operating system compatible with the portable operating system interface.
According to a fourth aspect of the present disclosure, there is also provided a biometric identification device, comprising: a first calling unit, configured to call a biometric service in response to a biometric function being selected, where the biometric service belongs to a service layer in a biometric framework; a second calling unit for calling, through the biometric service, a biometric feature recognition component corresponding to the biometric feature, the biometric feature recognition component being constituted by one or more modules in the biometric feature recognition framework; and an identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification means.
According to a fifth aspect of the present disclosure, there is also provided a computing device comprising: a processor; and a memory having executable code stored thereon which, when executed by the processor, causes the processor to perform the method as described in the first or second aspect of the present disclosure.
According to a sixth aspect of the present disclosure there is also provided a non-transitory machine-readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform a method as set out in the first or second aspect of the present disclosure.
The biological characteristic recognition framework is built through the dynamic modularized system specification, so that the modularized management of the biological characteristic recognition component can be realized, the coupling of the biological characteristic recognition component is greatly reduced, and the reusability of the module is improved.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout exemplary embodiments of the disclosure.
FIG. 1 is a schematic diagram illustrating the structure of a biometric framework constructed based on a dynamic modular system specification.
Fig. 2 is a schematic flow chart illustrating a biometric identification method according to an embodiment of the present disclosure.
Fig. 3 is a schematic flow chart illustrating a biometric identification method according to another embodiment of the present disclosure.
Fig. 4 is a flowchart illustrating biometric identification according to an embodiment of the present disclosure.
Fig. 5 is a schematic block diagram showing the structure of a biometric identification device according to an embodiment of the present disclosure.
Fig. 6 is a schematic block diagram showing a structure of a biometric identification device according to another embodiment of the present disclosure.
Fig. 7 shows a schematic block diagram of a structure of a computing device according to an embodiment of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
[ PREPARATION ] A method for producing a polypeptide
OSGi: a dynamic modular system specification.
NOSGi: and an open source project for realizing a framework of the dynamic modularized system specification through C++.
TEE: trusted Execution Environment, the trusted execution environment provides a secure execution environment for authorizing security software (trusted applications, TAs), and also protects confidentiality, integrity and access rights of resources and data of the TA.
IFAA: the internet financial authentication alliance INTERNET FINANCE authentiation alliance, for short, mainly sets industry standards around the aspect of biometric technology.
POSIX: the abbreviation of Portable Operating SYSTEM INTERFACE of UNIX for portable operating system interface, the POSIX standard defines the interface standard that the operating system should provide for applications, is a generic term for a series of API standards defined by IEEE for software to be run on various UNIX operating systems.
ELF: a file format, in computer science, is a file in binary, executable, object code, shared library, and core dump format.
[ Scheme overview ]
The present disclosure is directed to building a biometric framework based on a dynamic modular system specification (e.g., OSGI), which is a dynamic model system framework (e.g., OSGI framework or nOSGI framework). Fig. 1 shows a schematic structural view of the frame. As shown in fig. 1, the constructed Biometric framework may provide a standard environment for a Biometric Unit (Biometric Unit), and may include, in order from bottom to top, an Operating System layer (Operating System), a Hardware layer (Hardware), a Portable Operating System Interface (POSIX)/binary file format (ELF), a module layer (Modules), a lifecycle layer (LIFE CYCLE), a service layer, and a Security System (Security) that may be infiltrated into multiple layers.
The module layer defines the concept of modules (bundles) in the biometric framework. The module layer may be independent of the lifecycle layer and the service layer, which may not be required for use. The lifecycle layer provides APIs that manage (e.g., install, uninstall, start, stop) the bundles of the module layer, while the service layer provides a communication model between bundles. The Service layer may include registration Services (SERVICE REGISTER) and interface Services (Services), which are interface Services provided by or required by a Bundle. Bundle can publish a Service by SERVICE REGISTER registering a Service object.
Bundle is an apparent representation of a module in the biometric framework, and Bundle is a modularized physical unit in the form of jar package, which contains code, resource file and metadata (metadata), and can be simply considered as jar package with metadata added. Bundle is the smallest unit of deployment in a framework, so Bundle can be understood as a module.
Bundle is typically not the entire application packaged into a jar file, but rather is one or more logical modules that make up a particular application. The bundle is more powerful than the standard jar file and can explicitly tell which packets are visible to the outside (i.e., export Package). Another important advantage of Bundle over standard jar files is that it can be explicitly stated which external packages (i.e., import packages, import Package) to rely on. Different bundles can be mutually dependent and referenced, and specific functions can be realized through the cooperation of a plurality of bundles.
In this disclosure, the biometric component may be considered an underlying application that may be used to facilitate specific biometric functions. For example, the biometric component may include, but is not limited to, one or more of a fingerprint recognition component, a face recognition component, a voiceprint recognition component, an iris recognition component, a palmprint recognition component, and an eye recognition component. The biometric framework can be deployed with a large number of bundles, and the invocation of the biometric component can be realized by starting a specific Bundle, that is, the biometric component can be regarded as being formed by one or more modules (bundles), and the functions of the biometric component can be realized through the cooperation of the one or more modules. In addition, the same Bundle can be shared by different biological feature recognition components, so that the module management of the biological feature recognition components can be realized, the coupling of the biological feature recognition components is reduced, and the reusability of the module is improved.
When building a biometric framework based on a dynamic modular system specification, a certain number of modules (bundles) may be configured according to the functions that the biometric component is expected to implement. When the biometric feature needs to be invoked to implement a particular function, the invocation of the biometric feature may be implemented by the co-operation of the modules by activating the corresponding modules.
As an example, the functions that the biometric component can perform may be, but are not limited to, sensor adaptation, IFAA adaptation, and TEE adaptation. Wherein, the sensor adaptation means to dock a biological feature recognition device (such as a sensor device) to obtain related data; IFAA adapting refers to interfacing payment IFAA standard, adapting biometric authentication interface; TEE adaptation refers to interfacing to TEE client applications (TEE CLIENT Application) for TEE related data storage. Also, the biometric component may be a binary format file, such as an ELF format file. Therefore, the biological characteristic recognition framework can be based on a biological characteristic recognition interface of an open standard of a pluggable binary component of a biological characteristic recognition part, and can be connected with a biological characteristic recognition device through the pluggable binary component of the biological characteristic recognition part, so that universal biological characteristic recognition capability can be unified and abstracted.
Aspects of the disclosure are further described below.
[ Biological feature recognition method ]
Fig. 2 is a schematic flow chart illustrating a biometric identification method according to an embodiment of the present disclosure.
Referring to fig. 2, in step S210, a biometric framework is constructed based on the dynamic modular system specification.
The dynamic modular system specification described herein may be an OSGI, or other specification. The biological feature recognition framework constructed based on the dynamic modularized system specification is a dynamic model system framework, such as an OSGI framework or nOSGI framework. And, preferably, the framework may be adapted for use with POSIX compatible mobile operating systems. For the structure of the biometric framework, see the description above in connection with fig. 1.
As described above, the biometric component may be formed from one or more modules, and invocation of the biometric component may be accomplished by launching the corresponding module. Thus, in building a biometric framework based on a dynamic modular system specification, modules (bundles) are configured primarily according to the functions (e.g., sensor adaptation, IFAA adaptation, and TEE adaptation) desired to be imparted to the biometric component. In addition, when the biometric feature recognition means includes a plurality of means such as a fingerprint recognition means, a face recognition means, a voiceprint recognition means, an iris recognition means, a palm print recognition means, and an eye print recognition means, the same module can be shared between different biometric feature recognition means, and therefore, the coupling performance of the biometric feature recognition means can be reduced, and the multiplexing performance of the module can be improved. When a specific module and a dependency relationship between modules are configured, a programmer may set the specific configuration process of the module according to a dynamic modularized system specification (such as OSGI specification) and a function that can be implemented by a desired biometric feature recognition component, which is not described herein.
In step S220, a biometric service is invoked in response to the biometric function being selected.
In the present disclosure, the constructed biometric framework may serve as a bottom layer application, providing biometric functions for an upper layer application (e.g., APP installed on a terminal device). For example, the biometric functions that the biometric framework may provide may include, but are not limited to, one or more of a number of recognition functions including fingerprint recognition functions, face recognition functions, voiceprint recognition functions, iris recognition functions, palm print recognition functions, and eye print recognition functions.
The "biometric feature is selected" as referred to herein, and may refer to selecting a particular biometric feature when the user's identity needs to be verified during use of the upper layer application by the user. For example, the biometric framework may be deployed on a mobile device as an underlying application, and when a user performs operations such as login and payment using an APP installed on the mobile device that require verification of the identity of the user, the corresponding biometric function may be selected according to a specific authentication manner (such as fingerprint authentication, iris authentication, face authentication, etc.).
As an example, in response to the biometric function being selected, an application programming interface corresponding to the biometric function may be invoked, and the application programming interface may invoke the biometric service through an inter-process communication (IPC) request.
In step S230, a biometric feature corresponding to the biometric function is invoked through the biometric service.
The biometric services belong to a service layer in the biometric framework. As described above, the service layer provides a communication model between bundles, and the biometric component may be constituted by one or more modules (bundles) in the biometric framework, and thus, the biometric component may be invoked by the biometric service. For example, the biometric service may implement invocation of the biometric feature by launching a particular Bundle. Preferably, the biometric component may be an ELF format file to facilitate the biometric framework to acquire and dynamically register management.
In step S240, a biometric result is acquired based on the biometric component.
As an example, the biometric feature recognition component may first interface with a biometric feature recognition adaptation component corresponding to the biometric feature recognition function, and may communicate with the corresponding biometric feature recognition sensor drive component through the biometric feature recognition adaptation component to instruct the biometric feature recognition sensor drive component to perform biometric feature recognition.
In summary, the present disclosure may construct a biometric framework based on a dynamic modular system specification, where the constructed biometric framework may serve as a bottom layer application providing one or more biometric functions for an upper layer application. Preferably, the biometric framework of the present disclosure may be built on top of a standard POSIX compliant operating system and may be implemented on a C/c++ basis so that performance may be optimized.
In the present disclosure, each biometric component may be a file conforming to an ELF standard format, so that the biometric framework obtains and performs dynamic enrollment management. The biometric component and the biometric service may be isolated from each other (i.e., in different namespaces) and governed by a biometric framework. That is, the biometric component and the biometric service may be located in different namespaces and/or the different biometric components may be located in different namespaces. Wherein the biometric framework may also be used to verify whether the biometric component meets security criteria and/or the biometric framework may also be used to manage the operation of the biometric component.
The different biometric components may have corresponding service interfaces, which may be accessed by and only by invoking the service interfaces in order to access the biometric components residing in the different namespaces. Thus, binding to complete the biometric feature implementation method at runtime needs to be considered. For this purpose, the service interface (i.e. abstract type) must make a declaration of the virtual function's key (virtual), while the interface call is not mapped directly to the address at compile time (i.e. early binding), but rather is redirected to the virtual function table vtable in additional memory (i.e. late binding). The virtual function table vtable is created by the compiler and contains the memory addresses of all virtual functions of a particular type, and thus accessible from all modules, so that virtual functions can be accessed from other name modules, although the service implementation is not visible to each and independent of each other.
Further, interdependencies between different modules (bundles) in the biometric framework may be determined by a namespace, and version information may also be configured for bundles, and the import (Import) module may be configured to be able to reference all exposed classes within the same version range. Thus, the biometric component may rely on all interfaces within the same version range.
Fig. 3 is a schematic flow chart illustrating a biometric identification method according to another embodiment of the present disclosure.
Referring to fig. 3, in step S310, a biometric service is invoked in response to the biometric function being selected. For implementation details of step S310, reference may be made to the description above in connection with step S220.
The biometric services belong to a service layer in a biometric framework, which may be a framework based on a dynamic modular system specification. For the biometric framework, see, inter alia, the description above.
In step S320, a biometric feature corresponding to the biometric function is invoked through the biometric service. For implementation details of step S320, see the description above in connection with step S230.
The biometric component is comprised of one or more modules in a biometric framework. For the concepts of the biometric means, modules, reference is made to the relevant description above.
In step S330, a biometric result is acquired based on the biometric component. For implementation details of step S330, see the description above in connection with step S240.
The present disclosure modularly integrates different biometric components within one biometric framework, enables invocation of a particular biometric component by dynamically launching a particular module deployed within the framework, and different biometric components may also share the same module. Thus, the module reusability can be improved while the coupling of the biometric feature is reduced.
[ Application example ]
Fig. 4 is a flowchart illustrating biometric identification according to an embodiment of the present disclosure.
As shown in fig. 4, first, when a biometric function is selected by the biometric (Biometrics) APP that needs to verify the identity of the user, an application programming interface corresponding to the selected biometric function, that is, a biometric API, is called.
The invocation of the biometric background service (i.e., the biometric service described above) may then be requested by way of IPC communication, and the background service may be a biometric service control center for controlling the invocation of the corresponding biometric component. For example, the biometric service control center may invoke the relevant module from the biometric agent library (Biometrics Proxy Lib) to effect invocation of the corresponding biometric component based on the message sent by the biometric API.
The local OSGi framework may be used to be responsible for verifying the biometric components that meet the standard security and managing the actual operation of the biometric components, and when the corresponding biometric components are invoked, it will point to the actual corresponding biometric adaptation component (Adapter) to communicate with the actual biometric sensor driver. The corresponding sensor driver can feed back the recognition result (execution success/failure) and return the result to the top so as to finish the whole recognition flow.
The present disclosure can produce at least the following advantageous effects.
1. Low complexity
Biometric identification components implemented based on dynamic modular system specifications (e.g., OSGI) as modules can communicate through well-defined services. This not only reduces the number of bugs, but also makes the component easier to develop.
2. High reusability
The biometric framework of the present disclosure enables easy use of components in many third party applications and more components that meet specifications provided by open source projects, facilitating expansion of related services.
3. Easy to develop
The biometric framework of the present disclosure may also specify the manner in which components are installed and managed.
4. Version management
All the components can be mutually dependent through a naming space, and version information can be added into the components to solve the problem of version change of the components. The Export component may also carry a version information, while Import may reference all interfaces within a version range, so that the biometric component may rely on all interfaces within a version range.
5. Dynamic management
The present disclosure is based on the biometric framework implemented by a dynamic modular system specification (e.g., OSGI) as a dynamic model. The entire system does not need to be shut down when installing, starting, stopping and uninstalling modules in the frame. Thus, dynamic management can be realized, and deployment time is greatly reduced.
In summary, the present disclosure well solves the management of the modularization of different biometric feature recognition functions, simultaneously reduces the complexity of each biometric feature recognition function module, improves the reusability and robustness of itself, reduces the threshold developed by the developer, and gives the dynamic update capability of the biometric feature recognition thereof through the dynamic management capability. It can be said that the biometric framework implemented based on the dynamic modular system specification (e.g., OSGI) has made the development of all biometric functional modules new.
[ Biological characteristic recognition device ]
Fig. 5 is a schematic block diagram showing the structure of a biometric identification device according to an embodiment of the present disclosure. Wherein the functional modules of the biometric identification device may be implemented by hardware, software, or a combination of hardware and software that implements the principles of the present disclosure. Those skilled in the art will appreciate that the functional modules depicted in fig. 5 may be combined or divided into sub-modules to implement the principles of the invention described above. Accordingly, the description herein may support any possible combination, or division, or even further definition of the functional modules described herein.
The functional modules that the biometric device may have and the operations that each functional module may perform are briefly described below, and details related thereto are referred to above and will not be described here again.
Referring to fig. 5, the biometric authentication device 500 includes a frame construction unit 510, a first calling unit 520, a second calling unit 530, and an authentication result acquisition unit 540.
The framework construction unit 510 is configured to construct a biometric framework based on the dynamic modular system specification. The first invoking unit 520 is configured to invoke a biometric service in response to the biometric function being selected, where the biometric service belongs to a service layer in the biometric framework. As one example of the present disclosure, the first calling unit 520 may include an interface calling unit and a service calling unit (not shown in the drawing). The interface calling unit is used for calling an application programming interface corresponding to the biological characteristic recognition function in response to the biological characteristic recognition function being selected, and the service calling unit is used for calling the biological characteristic recognition service through an inter-process communication request.
The second calling unit 530 is used to call a biometric feature corresponding to the biometric function through the biometric service, the biometric feature being constituted by one or more modules in the biometric frame.
The recognition result acquisition unit 540 is configured to acquire a biometric recognition result based on the biometric recognition part. Alternatively, the recognition result acquisition unit 540 may interface the biometric adaptation part corresponding to the biometric function through the biometric adaptation part and communicate with the corresponding biometric sensor driving part through the biometric adaptation part to instruct the biometric sensor driving part to perform biometric.
The biometric function may include at least one of: a fingerprint identification function; face recognition function; voiceprint recognition function; an iris recognition function; a palmprint recognition function; and an eye pattern recognition function. Optionally, the biometric framework is further configured to verify whether the biometric component meets a security criterion, and/or the biometric framework is further configured to manage operation of the biometric component.
In the present disclosure, the biometric component may be an ELF format file to facilitate the biometric framework to acquire and dynamically register management. The biometric component may be located in a different namespace than the biometric service and/or the different biometric components may be located in different namespaces. The biometric feature has a corresponding service interface, and the biometric feature is accessed by invoking the service interface.
As shown in fig. 5, the biometric identification device 500 may optionally further include a declaration unit 550 shown in phantom. The declaration unit 550 is configured to declare the service interface using the key of the virtual function, where, when the service interface is invoked, an additional virtual function table is pointed to, and the virtual function table is created by the compiler and contains the memory addresses of all virtual functions of a specific type.
Optionally, the interdependencies between different modules in the biometric framework are determined by a namespace, as shown in fig. 5, and the biometric apparatus 500 may optionally further comprise a configuration unit 560, shown in a dashed box in the figure, the configuration unit 560 being operable to configure version information for the modules, wherein the import module is configured to be able to refer to all exposed classes within the same version range.
Fig. 6 is a schematic block diagram showing the structure of a biometric identification device according to an embodiment of the present disclosure.
Referring to fig. 6, the biometric authentication device 600 includes a first calling unit 610, a second calling unit 620, and an authentication result acquisition unit 630.
The first invoking unit 610 is configured to invoke a biometric service in response to the biometric function being selected, where the biometric service belongs to a service layer in the biometric framework. The second invoking unit 620 is configured to invoke a biometric feature corresponding to the biometric feature through the biometric service, the biometric feature being composed of one or more modules in the biometric frame. The identification result acquisition unit 630 is configured to acquire a biometric identification result based on the biometric identification means.
The biometric function may include at least one of: a fingerprint identification function; face recognition function; voiceprint recognition function; an iris recognition function; a palmprint recognition function; and an eye pattern recognition function. Optionally, the biometric framework is further configured to verify whether the biometric component meets a security criterion, and/or the biometric framework is further configured to manage operation of the biometric component.
In the present disclosure, the biometric component may be an ELF format file to facilitate the biometric framework to acquire and dynamically register management. The biometric component may be located in a different namespace than the biometric service and/or the different biometric components may be located in different namespaces. The biometric feature has a corresponding service interface, and the biometric feature is accessed by invoking the service interface.
Biometric identification device 600 may also optionally include a statement unit (not shown). The declaration unit is used for declaring the service interface by using the keywords of the virtual functions, wherein when the service interface is called, the additional virtual function tables are pointed, and the virtual function tables are created by the compiler and contain the memory addresses of all virtual functions of a specific type.
Optionally, the interdependencies between different modules in the biometric framework are determined by a namespace, and the biometric apparatus 600 may optionally further comprise a configuration unit (not shown in the figure) that may be used to configure version information for the modules, wherein the import module is configured to be able to refer to all exposed classes within the same version range.
[ Computing device ]
Fig. 7 illustrates a schematic diagram of a computing device that may be used to implement the biometric identification method described above, according to an embodiment of the present disclosure.
Referring to fig. 7, a computing device 700 includes a memory 710 and a processor 720.
Processor 720 may be a multi-core processor or may include multiple processors. In some embodiments, processor 720 may include a general-purpose host processor and one or more special coprocessors such as, for example, a Graphics Processor (GPU), a Digital Signal Processor (DSP), etc. In some embodiments, processor 720 may be implemented using custom circuitry, for example, an Application SPECIFIC INTEGRATED Circuit (ASIC) or a field programmable gate array (FPGA, field Programmable GATE ARRAYS).
Memory 710 may include various types of storage units, such as system memory, read Only Memory (ROM), and persistent storage. Where the ROM may store static data or instructions that are required by the processor 720 or other modules of the computer. The persistent storage may be a readable and writable storage. The persistent storage may be a non-volatile memory device that does not lose stored instructions and data even after the computer is powered down. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the persistent storage may be a removable storage device (e.g., diskette, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. The system memory may store instructions and data that are required by some or all of the processors at runtime. Furthermore, memory 710 may include any combination of computer-readable storage media including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic disks, and/or optical disks may also be employed. In some embodiments, memory 510 may include a readable and/or writable removable storage device such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only blu-ray disc, an ultra-dense disc, a flash memory card (e.g., SD card, min SD card, micro-SD card, etc.), a magnetic floppy disk, and the like. The computer readable storage medium does not contain a carrier wave or an instantaneous electronic signal transmitted by wireless or wired transmission.
The memory 710 has stored thereon executable code that, when executed by the processor 720, causes the processor 720 to perform the biometric methods described above.
The biometric identification method, apparatus, and device according to the present disclosure have been described in detail above with reference to the accompanying drawings.
Furthermore, the method according to the present disclosure may also be implemented as a computer program or computer program product comprising computer program code instructions for performing the above steps defined in the above method of the present disclosure.
Or the disclosure may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or computer program, or computer instruction code) that, when executed by a processor of an electronic device (or computing device, server, etc.), causes the processor to perform the various steps of the above-described methods according to the disclosure.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. A method of biometric identification, comprising:
constructing a biological feature recognition framework based on the dynamic modularized system specification;
Invoking a biometric service in response to a biometric function being selected, the biometric service belonging to a service layer in the biometric framework;
Invoking a biometric feature corresponding to the biometric feature through the biometric feature recognition service, the biometric feature being comprised of a plurality of modules in the biometric feature recognition framework; and
Acquiring a biometric result based on the biometric means; wherein the step of acquiring the biometric result based on the biometric component comprises:
The biological characteristic recognition component is abutted with a biological characteristic recognition adapting component corresponding to the biological characteristic recognition function;
Communicating with a corresponding biometric sensor drive component through the biometric adaptation component to instruct the biometric sensor drive component to perform biometric;
Wherein the interdependencies between different modules in the biometric framework are determined by a namespace, the method further comprising:
Version information is configured for the module, wherein,
The import module is configured to be able to reference all exposed classes within the same version range.
2. The biometric identification method of claim 1, wherein the biometric identification function comprises at least one of:
A fingerprint identification function;
face recognition function;
Voiceprint recognition function;
An iris recognition function;
A palmprint recognition function; and
Eye print recognition function.
3. The method of biometric identification of claim 1, wherein the step of invoking the biometric identification service comprises:
in response to a biometric function being selected for use, invoking an application programming interface corresponding to the biometric function; and
The application programming interface invokes the biometric service via an interprocess communication request.
4. The method of biometric identification according to claim 1, wherein,
The biometric framework is also used to verify whether the biometric component meets security criteria and/or
The biometric framework is also used to manage the operation of the biometric component.
5. The method of biometric identification according to claim 1, wherein,
The biological characteristic recognition component is an ELF format file so as to facilitate the biological characteristic recognition framework to acquire and dynamically register and manage.
6. The method of biometric identification according to claim 1, wherein,
The biometric component is located in a different namespace than the biometric service, and/or
Different of the biometric components are located in different namespaces.
7. The method of biometric identification according to claim 6, wherein,
The biometric feature has a corresponding service interface that is invoked to access the biometric feature.
8. The biometric identification method of claim 7, further comprising:
The service interface is declared using the key of the virtual function, wherein,
When the service interface is called, an additional virtual function table is pointed, wherein the virtual function table is created by a compiler and contains memory addresses of all virtual functions corresponding to specific classes.
9. The method of any one of claims 1 to 8, wherein the biometric framework is adapted for an operating system compatible with a portable operating system interface.
10. A biometric identification device, comprising:
the frame construction unit is used for constructing a biological feature recognition frame based on the dynamic modularized system specification;
a first calling unit, configured to call a biometric service in response to a biometric function being selected, where the biometric service belongs to a service layer in the biometric framework;
A second calling unit for calling, through the biometric service, a biometric feature recognition component corresponding to the biometric feature recognition function, the biometric feature recognition component being constituted by a plurality of modules in the biometric feature recognition framework; and
An identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification means; wherein the step of acquiring the biometric result based on the biometric component comprises:
The biological characteristic recognition component is abutted with a biological characteristic recognition adapting component corresponding to the biological characteristic recognition function;
Communicating with a corresponding biometric sensor drive component through the biometric adaptation component to instruct the biometric sensor drive component to perform biometric;
Wherein interdependencies between different modules in the biometric framework are determined by a namespace;
And the configuration unit is used for configuring version information for the module, wherein the importing module is configured to be capable of referencing all the exposed classes in the same version range.
11. A computing device, comprising:
A processor; and
A memory having executable code stored thereon, which when executed by the processor causes the processor to perform the method of any of claims 1-9.
12. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any of claims 1-9.
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