A biometric feature recognition framework service supporting multiple biometric feature recognition techniques

Abstract

The invention provides a biometric feature recognition framework service supporting a multi-biometric feature recognition technology. The biometric feature recognition framework service comprises thefollowing steps of S1, constructing a framework service hierarchy; S2, running a framework service, and initializing the framework service; and S3, receiving and processing various biological characteristic request events of the application layer or hot plug events of system bottom layer plug equipment. The service has the beneficial effects that the application development is simple, the application only needs to call the application interface provided by the BFS, and biological feature types, biological feature algorithms, user authorities and the like do not need to be concerned; the security is high, the BFS can encrypt the biological characteristics and store the biological characteristics in a system database, and only a high-authority administrator can access the system.

Description

technical field [0001] The invention belongs to the technical field of computers and relates to a biometric identification framework service supporting multiple biometric identification technologies, in particular to a multi-biological identification technology and an event-driven biometric identification framework service based on a Linux operating system platform. Background technique [0002] Biometric identification refers to a technology that utilizes the physiological characteristics of some human body parts for authentication. With the popularization of mobile terminals in recent years and the smaller and smaller sensors for biometric feature collection and identification, biometric feature recognition technology has been popularized in people's lives. [0003] Biometric identification is mainly divided into feature collection and feature authentication. Feature acquisition is the use of biostatistics principles and computer algorithms to extract and encode optical, ...

AI Technical Summary

Problems solved by technology

[0007] (3) There is no frame biometric identification framework or biometric identification service on the current Linux platform. There is only a dynamic link library libfprint for fingerprint identification

On the Linux platform, it exists in the form of a dynamic link library, which requires the application to re-detect and initialize the device when using the function, and also requires the application to release the device resources by itself, which makes application development difficult.

[0010] (2) Low security

In terms of biometric storage, the Windows platform uses a software encryption algorithm to encrypt the features, the Android platform uses the Key encryption in the hardware chip, and the Linux platform directly stores the plaintext of the features in the system. Without encryption, the data security is low

[0011] (3) poor versatility

[0012] (4) There are few supported device types and poor scalability

In terms of the types of biometric features supported by the platform, the Windwos platform supports fingerprint and face recognition, and can expand the recognition of different types of biometric features such as iris, finger veins, and voiceprints; the Android platform supports fingerprint, face, and iris recognition, and can Expand the recognition of biometric types such as finger veins and voiceprints; the Linux platform only supports fingerprint recognition, and cannot expand other biometric types

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