CN110852139A - Biometric feature recognition method, biometric feature recognition device, biometric feature recognition equipment and storage medium - Google Patents
Biometric feature recognition method, biometric feature recognition device, biometric feature recognition equipment and storage medium Download PDFInfo
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Abstract
The present disclosure provides a biometric identification method, apparatus, device and storage medium. Constructing a biological feature identification framework based on the dynamic modular system specification; invoking a biometric identification service in response to the biometric identification function being selected, the biometric identification service belonging to a service layer in a biometric identification framework; calling a biological characteristic identification component corresponding to a biological characteristic identification function through a biological characteristic identification service, wherein the biological characteristic identification component is composed of one or more modules in a biological characteristic identification framework; and acquiring a biometric recognition result based on the biometric recognition component. Therefore, the biological characteristic identification framework realized based on the dynamic modular system specification can realize the modular management of the biological characteristic identification component, reduce the coupling of the biological characteristic identification component and improve the reusability of the module.
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, human faces, voiceprints, irises, palm prints, eye prints and the like cannot be well managed in a modularized mode, and the biological feature recognition service modules are different in frame implementation and are integrated in service logic, so that the biological feature recognition service modules cannot be effectively and uniformly provided for developers as a set of service system, and the application and maintenance thresholds of the developers are improved in a phase-changing manner.
Specifically, fingerprints, human faces, voiceprints and the like all need to realize own business processes and serve as local services to provide capacity for upper-layer applications, but the complexity of realization of the fingerprints, the human faces, the voiceprints and the like is different, and many general processes cannot perform interface abstraction uniformly, so that the maintenance cost is greatly improved. Moreover, the biological feature identification services such as fingerprints, human faces, voiceprints and the like are too complex to be well decoupled, so that the reusability is poor. Once a biometric service fails to work due to an internal anomaly, it is completely unable to provide necessary support for the upper layer, and may also cause the upper layer application to exit abnormally.
In addition, the biological feature recognition service cannot effectively standardize and restrict external calling except for ensuring interface calling safety, and the biological feature recognition service does not uniformly abstract a general flow, so that service businesses are 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 that can solve at least one of the problems described above.
According to a first aspect of the present disclosure, there is provided a biometric identification method, including: constructing a biological feature identification framework based on the dynamic modular system specification; invoking a biometric identification service in response to the biometric identification function being selected, the biometric identification service belonging to a service layer in a biometric identification framework; calling a biological feature recognition component corresponding to a biological recognition function through a biological feature recognition service, wherein the biological feature recognition component is composed of one or more modules in a biological feature recognition framework; and acquiring a biometric recognition result based on the biometric recognition means.
Optionally, the biometric identification function comprises at least one of: a fingerprint identification function; a face recognition function; a voiceprint recognition function; iris recognition function; a palm print recognition function; and an eyeprint recognition function.
Optionally, the step of invoking the biometric service comprises: in response to the biometric identification function being selected, invoking an application programming interface corresponding to the biometric identification function; and the application programming interface calls the biometric identification service through the interprocess communication request.
Optionally, the step of acquiring the biometric result based on the biometric component includes: the biological characteristic identification part is butted with a biological characteristic identification adaptive part corresponding to the biological characteristic identification function; and communicating with the corresponding biological characteristic recognition sensor driving component through the biological characteristic recognition adapting component so as to instruct the biological characteristic recognition sensor driving component to carry out biological characteristic recognition.
Optionally, the biometric framework is further configured to verify that the biometric component complies with the security standard, and/or the biometric framework is further configured to manage the operation of the biometric component.
Optionally, the biometric component is an ELF format file, so that the biometric framework can acquire and perform dynamic registration management.
Optionally, the biometric identification component is located in a different namespace than the biometric identification service and/or the different biometric identification 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: and declaring the service interface by using the keywords of the virtual function, wherein when the service interface is called, an additional virtual function table is pointed, and the virtual function table is created by a compiler and contains the memory addresses of all the 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: configuring version information for the module, wherein the import module is configured to be able to reference all exposed classes within the same version scope.
Optionally, the biometric framework is adapted for use with 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, including: 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 identification service, a biometric identification component corresponding to the biometric identification function, the biometric identification component being comprised of one or more modules in the biometric identification framework; and acquiring a biometric recognition result based on the biometric recognition means.
According to a third aspect of the present disclosure, there is also provided a biometric identification apparatus including: the framework construction unit is used for constructing a biological feature identification framework based on the dynamic modular system specification; a first calling unit configured to call a biometric identification service in response to the biometric identification function being selected, the biometric identification service belonging to a service layer in a biometric identification framework; a second calling unit configured to call a biometric component corresponding to a biometric function through a biometric service, the biometric component being constituted by one or more modules in a biometric framework; and an identification result acquisition unit for acquiring a biometric identification result based on the biometric identification component.
Optionally, the biometric identification function comprises at least one of: a fingerprint identification function; a face recognition function; a voiceprint recognition function; iris recognition function; a palm print recognition function; and an eyeprint recognition function.
Optionally, the first invoking unit includes: the interface calls the unit, is used for responding to the recognition function of the biological characteristic to be chosen, call the application programming interface corresponding to recognition function of the biological characteristic; and a service invoking unit for invoking the biometric service through the interprocess communication request.
Alternatively, the recognition result acquisition unit interfaces a biometric adaptation component corresponding to the biometric function through the biometric identification component and communicates with a corresponding biometric sensor driving component through the biometric adaptation component to instruct the biometric sensor driving component to perform biometric recognition.
Optionally, the biometric framework is further configured to verify that the biometric component complies with the security standard, and/or the biometric framework is further configured to manage the operation of the biometric component.
Optionally, the biometric component is an ELF format file, so that the biometric framework can acquire and perform dynamic registration management.
Optionally, the biometric identification component is located in a different namespace than the biometric identification service and/or the different biometric identification 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 apparatus further includes: and the declaration unit is used for declaring the service interface by using the keywords of the virtual function, wherein when the service interface is called, the additional virtual function table is pointed, and the virtual function table is created by the compiler and contains the memory addresses of all the 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 import module is configured to be capable of referencing all exposed classes in the same version range.
Optionally, the biometric framework is adapted for use with 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 apparatus including: a first calling unit configured to call a biometric service in response to a biometric function being selected, the biometric service belonging to a service layer in a biometric framework; a second calling unit configured to call a biometric component corresponding to the biometric function through the biometric service, the biometric component being constituted by one or more modules in the biometric framework; and an identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification component.
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 a method as set forth in the first or second aspect of the 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 forth in the first or second aspect of the present disclosure.
The biological characteristic identification framework is constructed through the dynamic modular system specification, so that the modular management of the biological characteristic identification component can be realized, the coupling of the biological characteristic identification component is greatly reduced, and the reusability of the module is improved.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
FIG. 1 is a block diagram illustrating a biometric framework built based on a dynamic modular system specification.
Fig. 2 is a schematic flow chart diagram illustrating a biometric method according to an embodiment of the present disclosure.
Fig. 3 is a schematic flow chart diagram illustrating a biometric method according to another embodiment of the present disclosure.
Fig. 4 is a flow chart illustrating biometric identification according to an embodiment of the present disclosure.
Fig. 5 is a schematic block diagram illustrating a structure of a biometric recognition apparatus according to an embodiment of the present disclosure.
Fig. 6 is a schematic block diagram illustrating a structure of a biometric recognition apparatus according to another embodiment of the present disclosure.
FIG. 7 shows a schematic block diagram of the 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.
[ term interpretation ]
OSGi: a dynamic modular system specification.
nOSGi: and an open source project realizes a framework of dynamic modular system specification through C + +.
TEE: the Trusted Execution Environment is used for authorizing the secure Execution Environment of the secure software (Trusted application, TA), and protecting the confidentiality, integrity and access authority of the TA resources and data.
IFAA: the organization mainly establishes an industry standard around the aspect of biological identification technology.
POSIX: the POSIX standard defines an Interface standard which an Operating System should provide for application programs, and is a generic name of 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 used for binary files, executable files, object code, shared libraries, and core dump formats.
[ scheme overview ]
The present disclosure is primarily 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 nsogi 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 component (Biometric Unit), and may include, 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 Life Cycle layer (Life Cycle), a service layer, and a Security system (Security) that may be permeated through multiple layers.
The module layer defines the concept of a module (Bundle) in a biometric framework. The module layer may be independent of the lifecycle layer and the service layer, and may not require the lifecycle layer and the service layer when in use. The lifecycle layer provides APIs for managing (e.g., installing, uninstalling, starting, stopping) the bundles of the module layer, and the service layer provides a communication model between the bundles. The Service layer may include a registration Service (Service Register) and interface Services (Services), which are interface Services provided or required by Bundle. A Bundle can publish a Service (Service) by registering a Service object with a Service Register.
The Bundle is the appearance of the module in the biological characteristic identification framework, the Bundle is a modularized physical unit in the form of a jar package, the modularized physical unit contains codes, resource files and metadata (metadata), and the Bundle can be simply considered as the jar package added with the metadata. A Bundle is the smallest unit of deployment in a framework, and thus 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. bundle is more powerful than standard jar files and can explicitly declare which packets are visible to the outside (i.e., Export Package). Another important advantage of Bundle over standard jar files is that it can explicitly declare which external packages (i.e., Import packages) are relied upon. Different bundles can be mutually dependent and referenced, and specific functions can be realized through the mutual cooperation of a plurality of bundles.
In the present disclosure, a biometric component may be considered an underlying application that may be used to assist in implementing a particular biometric function. For example, the biometric identification component may include, but is not limited to, one or more of a fingerprint identification component, a face identification component, a voice print identification component, an iris identification component, a palm print identification component, and an eye print identification component. A large number of bundles may be deployed in the biometric framework, and the invoking of the biometric component may be implemented by activating a specific Bundle, that is, the biometric component may be regarded as being composed of one or more modules (bundles), and the function of the biometric component may be implemented by the cooperation of the one or more modules. Moreover, the same Bundle can be shared by different biological characteristic identification components, so that the modularized management of the biological characteristic identification components can be realized, the coupling of the biological characteristic identification components is reduced, and the reusability of the modules is improved.
When the biometric framework is constructed based on the dynamic modular system specification, a certain number of modules (bundles) can be configured according to the functions that the biometric component is expected to realize. When the biometric identification component needs to be called to realize a specific function, the calling of the biometric identification component can be realized through the mutual cooperation of the modules by starting the corresponding modules.
By way of example, the functions that the biometric identification component can implement may be, but are not limited to, sensor adaptation, IFAA adaptation, and TEE adaptation. Wherein, the sensor adaptation refers to docking a biological characteristic recognition device (such as a sensor device) to obtain related data; the IFAA adaptation refers to the step of adapting a biological identification verification interface by butting a payment IFAA standard; TEE adaptation refers to interfacing with a TEE Client Application (TEE Client Application) for TEE related data storage. Also, the biometric identification component may be a binary format file, such as an ELF format file. Therefore, the biological characteristic identification framework can be based on a plug-in binary component biological characteristic identification component open standard biological identification interface, and can be connected with a biological characteristic identification device through the plug-in binary component biological characteristic identification component, so that universal biological characteristic identification capability can be abstracted uniformly.
The following further describes aspects of the present disclosure.
[ biological feature identification method ]
Fig. 2 is a schematic flow chart diagram illustrating a biometric method according to an embodiment of the present disclosure.
Referring to FIG. 2, in step S210, a biometric identification framework is constructed based on the dynamic modular system specification.
The dynamic modular system specification mentioned here may be OSGI, but also other specifications. The biological feature recognition framework constructed based on the dynamic modular system specification is a dynamic model system framework, such as an OSGI framework and an nOSGI framework. And, preferably, the framework can be adapted to a mobile operating system that is POSIX compatible. For the structure of the biometric framework, see the description above in connection with fig. 1.
As described above, the biometric component may be constituted by one or more modules, and the invocation of the biometric component may be realized by activating the corresponding module. Therefore, when constructing a biometric framework based on dynamic modular system specifications, modules (bundles) are mainly configured according to functions (such as sensor adaptation, IFAA adaptation, and TEE adaptation) that are expected to be given to biometric components. In addition, when the biometric 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 recognition means, and thus, the coupling of the biometric recognition means can be reduced and the reusability of the module can be improved. When configuring specific modules and dependencies among the modules, a programmer may set the modules according to a dynamic modular system specification (e.g., OSGI specification) and a function that a biometric component is expected to realize, and details about a specific configuration process of the modules are 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 can be used as a bottom-layer application to provide a biometric function for an upper-layer application (such as an APP installed on a terminal device). For example, the biometric framework may provide biometric functions including, but not limited to, one or more of fingerprint recognition, face recognition, voice print, iris recognition, palm print, and eye print recognition functions.
The "biometric function" mentioned here may be a specific biometric function selected when the user needs to verify the user's identity during the process of using the upper layer application. For example, the biometric framework may be deployed on a mobile device as a bottom-layer application, and when a user performs operations such as login and payment that require verification of the user's identity using an APP installed on the mobile device, a corresponding biometric function may be selected according to a specific authentication manner (e.g., 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 request invocation of the biometric service via inter-process communication (IPC).
In step S230, a biometric component corresponding to a biometric function is called by the biometric service.
The biometric services belong to a service layer in a biometric framework. As described above, the service layer provides a model of communication between the bundles, and the biometric component may be comprised of one or more modules (bundles) in a biometric framework, so that the biometric component may be invoked by the biometric service. For example, the biometric service may enable invocation of a biometric component by launching a particular Bundle. Preferably, the biometric component may be an ELF format file to facilitate biometric framework acquisition and dynamic enrollment management.
In step S240, a biometric recognition result is acquired based on the biometric recognition means.
As an example, the biometric identification component may first interface a biometric identification adaptation component corresponding to a biometric identification function, which may communicate with a corresponding biometric identification sensor driving component via the biometric identification adaptation component to instruct the biometric identification sensor driving component to perform biometric identification.
In summary, the present disclosure may construct a biometric framework based on dynamic modular system specifications, and 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 can be built on top of a standard POSIX compliant operating system and can be implemented based on C/C + + so that performance can be optimized.
In the present disclosure, each biometric component may be a file conforming to the ELF standard format for the biometric framework to acquire and perform dynamic registration management. The biometric component and the biometric service may be isolated from each other (i.e., may be 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 different biometric components may be located in different namespaces. The biometric framework may also be used to verify that the biometric component meets the security standard, and/or the biometric framework may be used to manage the operation of the biometric component.
Different biometric components may have corresponding service interfaces, and in order to access biometric components residing in different namespaces, the biometric components may be accessed by, and only by, invoking the service interfaces. Thus, it is desirable to consider the binding of biometric component implementation methods to be done at runtime. To do this, the service interface (i.e. abstract type) has to make a declaration of the key (virtual) of the virtual function, while the interface call does not map directly to the address at compile time (i.e. early binding), but points back 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 is thus accessible from all modules, so that the virtual functions can be accessed from other name modules, although the service implementation is invisible to each of them 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 an Import (Import) module may be configured to be able to reference all exposed classes within the same version scope. Thus, the biometric identification component may rely on all interfaces within the same version range.
Fig. 3 is a schematic flow chart diagram illustrating a biometric method according to another embodiment of the present disclosure.
Referring to fig. 3, in response to the biometric function being selected, a biometric service is invoked at step S310. For implementation details of step S310, see the description above in connection with step S220.
The biometric service belongs 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 the above description.
In step S320, a biometric component corresponding to a biometric function is called by 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 biometric identification means, modules, see the above related description.
In step S330, a biometric recognition result is acquired based on the biometric recognition means. 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 activating a particular module deployed within the framework, and different biometric components may also share the same module. Thus, the reusability of the module can be improved while reducing the coupling of the biometric recognition unit.
[ application example ]
Fig. 4 is a flow chart illustrating biometric identification according to an embodiment of the present disclosure.
As shown in fig. 4, first, when a biometric function needs to be selected for verifying the user identity, a biometric (Biometrics) APP may call an application programming interface, i.e., a biometric API, corresponding to the selected biometric function.
Then, a request for invoking the biometric background service (i.e. the above-mentioned biometric service) may be made by means of IPC communication, and the background service may be a biometric service control center for controlling invoking of the corresponding biometric component. For example, the biometric service control center may call the relevant module from a biometric Proxy library (Biometrics Proxy Lib) according to a message sent by the biometric API, so as to realize the call of the corresponding biometric component.
The local OSGi framework may be used to verify the biometric identification component that meets standard security and manage the actual operation of the biometric identification component, and when the corresponding biometric identification component is invoked, may point to the actual corresponding biometric identification Adapter component (Adapter), communicating with the actual biometric identification sensor driver. The corresponding sensor driver can feed back the recognition result (execution success/failure) and return the result to the upper part to end the whole recognition process.
The present disclosure can produce at least the following advantageous effects.
1. Low complexity
Biometric identification components implemented based on dynamic modular system specifications (such as OSGI) as modules can communicate through well-defined services. This not only reduces the number of bugs, it also makes the components easier to develop.
2. High reusability
The biometric framework of the present disclosure can easily use components in many third party applications and more open source projects providing specification compliant components, facilitating the expansion of related services.
3. Easy to open
The biometric framework of the present disclosure may also specify component installation and management approaches.
4. Version management
All the components can be interdependent through a namespace, and version information can be added to the components to solve the problem of version change of the components. The Export component may also carry a version of information, while the Import may reference all interfaces within a version scope, so that the biometric component may rely on all interfaces within a version scope.
5. Dynamic management
The biometric identification framework implemented by the present disclosure based on a dynamic modular system specification (e.g., OSGI) is a dynamic model. The entire system need not be shut down when installing, starting, stopping and unloading modules in the frame. Thus, dynamic management can be achieved and deployment time is greatly reduced.
In conclusion, the management of different biological feature recognition function modules is well solved, the complexity of each biological feature recognition function module is reduced, the reusability and the robustness of the biological feature recognition function module are improved, the development threshold of a developer is reduced, and the dynamic updating capability of the biological feature recognition is given by the dynamic management capability. It can be said that the biometric identification framework implemented based on the dynamic modular system specification (such as OSGI) makes all the biometric identification function modules to be developed more innovative.
[ biometric feature recognition device ]
Fig. 5 is a schematic block diagram illustrating a structure of a biometric recognition apparatus according to an embodiment of the present disclosure. The functional blocks of the biometric device may be implemented by hardware, software, or a combination of hardware and software implementing the principles of the present disclosure. It will be appreciated by those skilled in the art that the functional blocks described in fig. 5 may be combined or divided into sub-blocks to implement the principles of the invention described above. Thus, the description herein may support any possible combination, or division, or further definition of the functional modules described herein.
In the following, functional modules that the biometric device can have and operations that each functional module can perform are briefly described, and for the details related thereto, reference may be made to the above description, and details are not repeated here.
Referring to fig. 5, the biometric authentication apparatus 500 includes a framework building unit 510, a first calling unit 520, a second calling unit 530, and an authentication result acquiring unit 540.
The framework building unit 510 is configured to build 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, the biometric service belonging to a service layer in a biometric framework. As one example of the present disclosure, the first call unit 520 may include an interface call unit and a service call unit (not shown in the drawings). 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 the interprocess communication request.
The second invoking unit 530 is configured to invoke a biometric component corresponding to a biometric function through a biometric service, the biometric component being configured by one or more modules in a biometric framework.
The recognition result acquisition unit 540 is configured to acquire a biometric recognition result based on the biometric recognition component. Alternatively, the recognition result acquiring unit 540 may interface a biometric adaptation part corresponding to the biometric function through the biometric identification part and communicate with a corresponding biometric sensor driving part through the biometric adaptation part to instruct the biometric sensor driving part to perform biometric identification.
The biometric identification function may include at least one of: a fingerprint identification function; a face recognition function; a voiceprint recognition function; iris recognition function; a palm print recognition function; and an eyeprint recognition function. Optionally, the biometric framework is further configured to verify that the biometric component complies with the security standard, and/or the biometric framework is further configured to manage the operation of the biometric component.
In the present disclosure, the biometric component may be an ELF format file to facilitate biometric framework acquisition and dynamic registration management. The biometric component and the biometric service may be located in different namespaces and/or different biometric components may be located in different namespaces. The biometric identification component has a corresponding service interface, and the biometric identification component is accessed by calling the service interface.
As shown in fig. 5, the biometric device 500 may further optionally include a declaration unit 550 shown by a dashed box in the figure. The declaration unit 550 is configured to declare the service interface using the key of the virtual function, where when the service interface is called, an additional virtual function table is pointed to, and the virtual function table is created by the compiler and includes 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, the biometric apparatus 500 may further optionally include a configuration unit 560 shown by a dashed box in the figure, and the configuration unit 560 may be configured 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 illustrating a structure of a biometric recognition apparatus according to an embodiment of the present disclosure.
Referring to fig. 6, the biometric authentication apparatus 600 includes a first invoking unit 610, a second invoking unit 620, and an authentication result acquiring unit 630.
The first invoking unit 610 is configured to invoke a biometric service in response to the biometric function being selected, the biometric service belonging to a service layer in a biometric framework. The second calling unit 620 is configured to call a biometric component corresponding to a biometric function through a biometric service, the biometric component being configured by one or more modules in a biometric framework. The recognition result acquisition unit 630 is configured to acquire a biometric recognition result based on the biometric recognition component.
The biometric identification function may include at least one of: a fingerprint identification function; a face recognition function; a voiceprint recognition function; iris recognition function; a palm print recognition function; and an eyeprint recognition function. Optionally, the biometric framework is further configured to verify that the biometric component complies with the security standard, and/or the biometric framework is further configured to manage the operation of the biometric component.
In the present disclosure, the biometric component may be an ELF format file to facilitate biometric framework acquisition and dynamic registration management. The biometric component and the biometric service may be located in different namespaces and/or different biometric components may be located in different namespaces. The biometric identification component has a corresponding service interface, and the biometric identification component is accessed by calling the service interface.
The biometric recognition apparatus 600 may further optionally include a declaration unit (not shown in the drawings). 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 table is pointed, and the virtual function table is created by a compiler and contains the memory addresses of all the 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 further optionally comprise a configuration unit (not shown in the figure) for configuring 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.
[ calculating device ]
Fig. 7 shows a schematic structural diagram of a computing device that can be used to implement the above-described biometric identification method according to an embodiment of the present disclosure.
Referring to fig. 7, computing device 700 includes memory 710 and 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 purpose coprocessors such as a Graphics Processor (GPU), Digital Signal Processor (DSP), or the like. In some embodiments, processor 720 may be implemented using custom circuits, such as an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA).
The memory 710 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions that are required by processor 720 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. 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 permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. In addition, the 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 and/or optical disks, may also be employed. In some embodiments, memory 510 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a digital versatile disc read only (e.g., DVD-ROM, dual layer DVD-ROM), a Blu-ray disc read only, an ultra-dense disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disk, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 710 has stored thereon executable code that, when executed by the processor 720, may cause the processor 720 to perform the biometric identification methods described above.
The biometric 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-mentioned steps defined in the above-mentioned method of the present disclosure.
Alternatively, the present 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 a computer program, or computer instruction code) which, 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 method according to the present 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 flowchart 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.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (16)
1. A biometric identification method, comprising:
constructing a biological feature identification framework based on the dynamic modular 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, by the biometric identification service, a biometric identification component corresponding to the biometric identification function, the biometric identification component being comprised of one or more modules in the biometric identification framework; and
a biometric recognition result is acquired based on the biometric recognition component.
2. The biometric identification method according to claim 1, wherein the biometric identification function comprises at least one of:
a fingerprint identification function;
a face recognition function;
a voiceprint recognition function;
iris recognition function;
a palm print recognition function; and
and (4) eye pattern recognition function.
3. The biometric method of claim 1, wherein the step of invoking a biometric service comprises:
in response to a biometric identification function being selected, invoking an application programming interface corresponding to the biometric identification function; and
the application programming interface invokes the biometric service via an interprocess communication request.
4. The biometric identification method according to claim 1, wherein the step of obtaining a biometric identification result based on the biometric identification means includes:
the biological characteristic identification component is used for interfacing a biological characteristic identification adaptive component corresponding to the biological characteristic identification function;
communicating with a corresponding biometric sensor driving component through the biometric adaptation component to instruct the biometric sensor driving component to perform biometric identification.
5. The biometric identification method according to claim 1,
the biometric framework is further configured to verify that the biometric component complies with a security standard, and/or,
the biometric framework is also used to manage the operation of the biometric component.
6. The biometric identification method according to claim 1,
the biological characteristic identification component is an ELF format file so as to facilitate the acquisition of the biological characteristic identification framework and the dynamic registration management.
7. The biometric identification method according to claim 1,
the biometric identification component is located in a different namespace than the biometric identification service, and/or,
different ones of the biometric components are located in different namespaces.
8. The biometric identification method according to claim 7,
the biometric identification component has a corresponding service interface, and the biometric identification component is accessed by calling the service interface.
9. The biometric identification method according to claim 8, further comprising:
declaring the service interface using a key of a virtual function, wherein,
when the service interface is called, the additional virtual function table is pointed, and the virtual function table is created by a compiler and contains the memory addresses of all virtual functions of a specific type.
10. The biometric identification method of claim 1, wherein interdependencies between different modules in the biometric framework are determined by a namespace, the method further comprising:
configuring version information for the module, wherein,
the import module is configured to be able to reference all exposed classes within the same version range.
11. The biometric identification method according to any one of claims 1 to 10, wherein the biometric identification framework is adapted to an operating system compatible with a portable operating system interface.
12. 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 identification service, a biometric identification component corresponding to the biometric identification function, the biometric identification component being comprised of one or more modules in the biometric identification framework; and
a biometric recognition result is acquired based on the biometric recognition component.
13. A biometric identification device, comprising:
the framework construction unit is used for constructing a biological feature identification framework based on the dynamic modular system specification;
a first calling unit configured to call a biometric service in response to a biometric function being selected, the biometric service belonging to a service layer in the biometric framework;
a second calling unit configured to call a biometric component corresponding to the biometric function through the biometric service, the biometric component being constituted by one or more modules in the biometric framework; and
an identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification component.
14. A biometric identification device, comprising:
a first calling unit configured to call a biometric service in response to a biometric function being selected, the biometric service belonging to a service layer in a biometric framework;
a second calling unit configured to call a biometric component corresponding to the biometric function through the biometric service, the biometric component being constituted by one or more modules in the biometric framework; and
an identification result acquisition unit configured to acquire a biometric identification result based on the biometric identification component.
15. 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 1-12.
16. 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 one of claims 1-12.
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