A face and voice multi-biometric fusion authentication method based on an Android platform

A biometric and authentication method technology, applied in the field of control science and pattern recognition, can solve the problems of large interference in face authentication and difficult to meet the needs of user security, achieve high algorithm efficiency, improve algorithm efficiency and accuracy, and reduce leakage. the effect of judgment

Pending Publication Date: 2019-03-08
XI AN JIAOTONG UNIV +1
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AI Technical Summary

Problems solved by technology

However, the face is open, and other people can use inactive photos for authentication. In addition, face authentication is greatly disturbed by

Method used

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  • A face and voice multi-biometric fusion authentication method based on an Android platform
  • A face and voice multi-biometric fusion authentication method based on an Android platform
  • A face and voice multi-biometric fusion authentication method based on an Android platform

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Embodiment Construction

[0028] The present invention will be further described below in combination with specific embodiments.

[0029] 1. System development platform

[0030] The present invention selects an Android smart phone as a test platform, has a GPU graphics processor, a front camera with a minimum configuration of 2 million pixels, and supports recording and camera functions. Such as figure 1 As shown in the schematic diagram of the software development platform, the face and voice multi-biometric authentication system based on Android smartphones, select different experimental platforms according to the size of the face and voice database, and realize the verification of the algorithm model and the selection of parameters in the early stage. The face image contains a lot of feature information and the picture is large, so C++ is used to test the face authentication model algorithm on Visual Studio. The voice is relatively small, and the related algorithm design and simulation are carried ...

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Abstract

The invention provides a face and voice multi-biometric fusion authentication method based on an Android platform, comprising that a user's face image is collected firstly, the user's face image is preprocessed, and the Adaboost algorithm is used to detect the face in the user's face image, and the face LBP feature is extracted to obtain the user's face feature; the user's face feature model is generated according to the user's face feature, and the user's face feature model of all users constitutes the image sample library. The invention is used for mobile phone authentication, especially theterminal security authentication of mobile finance type privacy application, which makes up for the shortcoming of single mode authentication, has higher reliability and security, and further ensuresthe information security of mobile phone users.

Description

technical field [0001] The invention belongs to the fields of control science and pattern recognition, and in particular relates to an Android platform-based multi-biological feature fusion authentication method of face and voice. Background technique [0002] With the continuous development of today's information technology and society, mankind has ushered in the era of mobile Internet. By 2017, the number of global mobile users will reach 5 billion, and the number of mobile Internet users will reach 7.6 billion. With the rapid development of mobile Internet, one of the most iconic tools is the smartphone. Smartphones are applied to all areas of life, especially in recent years, with rapid development, and the number of usage far exceeds that of traditional PC terminals. In the first half of 2017, China's smartphone users reached 1.3 billion, and almost everyone has a smartphone. Modern people are more dependent on smartphones. Mobile phone privacy applications represent...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06F21/32H04M1/67H04M1/725
CPCH04M1/67G06F21/32H04M1/72454H04M1/72463G06V40/161G06V40/168G06V40/172G06V40/70G06F18/2148
Inventor 张新曼戴怡轩王静娴程东旭熊齐许学斌
Owner XI AN JIAOTONG UNIV
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