Dual-modal bio-feature signing-in system based on human face and handwritten signature

A handwritten signature and biometric technology, applied in signature reading/verification, character and pattern recognition, biological neural network model, etc., can solve problems such as complex network security risks, overcome unstable factors, improve safety factor, and The effect of practicality

Active Publication Date: 2017-12-22
WUYI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, with the continuous development of network communication technology, the application of information sharing is becoming more and more extensive and in-depth, which brings convenience to people's daily life. Therefore, real-time high-efficiency and high-security personal identity authentication is extremely important

Method used

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  • Dual-modal bio-feature signing-in system based on human face and handwritten signature
  • Dual-modal bio-feature signing-in system based on human face and handwritten signature
  • Dual-modal bio-feature signing-in system based on human face and handwritten signature

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no. 1 example

[0064] A dual-mode biometric sign-in system based on face and handwritten signature of the present invention includes a bionic pattern recognition module 500 for identity verification, and the first embodiment of the recognition module 500 is as follows:

[0065] refer to Figure 4 and Figure 6 , the recognition module 500 includes a bionic pattern recognition module 510 based on a high-dimensional space complex geometric shape coverage recognition method; the input end of the bionic pattern recognition module 510 is connected to the feature normalization fusion module 400 . The bionic pattern recognition module 510 recognizes the received dual-mode fusion features, and then verifies the authenticity of the identity information, and sends the verification result to the server.

[0066] The realization process of "knowing things" of the bionic pattern recognition is the process of using multi-weight high-order neuron network to establish a high-dimensional space closed hypers...

no. 2 example

[0078] A dual-mode biometric sign-in system based on face and handwritten signature of the present invention includes a bionic pattern recognition module 500 for identity verification, and the second embodiment of the recognition module 500 is as follows:

[0079] refer to Figure 5 , the recognition module 500 includes an SVM algorithm recognition module 520 based on a partition recognition method; the input end of the SVM algorithm recognition module 520 is connected to the feature normalization fusion module 400 . The SVM algorithm identification module 520 identifies the received dual-mode fusion features, and then verifies the authenticity of the identity information, and sends the verification result to the server.

[0080] The mechanism of SVM (Support Vector Machine) between the features to be tested and the sample features is to find an optimal classification hyperplane that meets the classification requirements, so that the hyperplane can maximize the blank area on b...

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Abstract

The invention discloses a dual-modal bio-feature signing-in system based on human face and handwritten signature. In the system, an identity information collection and detection module, an information pretreatment module, a convolution neural network module, a feature normalization fusing module and a recognizing module are successively connected to perform image collection, pretreatment, extraction of fusion feature, and recognition and determination to the human face and handwritten signature, thus achieving effect of dual-modal feature identity authentication with the human face and handwritten signature. The system overcomes the instable factors in single-modal bio-feature authentication, and greatly improves reliability, practicability and safety of identity authentication. In addition, the system can completely eradicate fake signing-in for attendance when being applied to a signing-in attendance system.

Description

technical field [0001] The invention relates to the technical field of biometric authentication and pattern recognition, in particular to a dual-mode biometric sign-in system based on human face and handwritten signature. Background technique [0002] At present, with the continuous development of network communication technology, the application of information sharing is becoming more and more extensive and in-depth, which brings convenience to people's daily life. Therefore, real-time efficient and high-security personal identity authentication is extremely important. [0003] At present, identity authentication methods are mainly divided into three categories: the first category is to authenticate users based on passwords (passwords); the second category is to perform identity authentication based on identity markers such as certificates, keys, and IC cards; the third category , based on measurable physical or behavioral biometrics for authentication. Biometric identifi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C1/10G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G07C1/10G06V40/30G06V40/161G06V40/168G06V40/172G06N3/045G06F18/2411
Inventor 应自炉商丽娟徐颖刘健
Owner WUYI UNIV
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