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Fingerprint and soundprint based cross-certification system

A cross-authentication and fingerprint authentication technology, applied in the field of cross-authentication based on fingerprints and voiceprints, achieves the effects of extensive security and adaptability, reducing uncertainty, and enhancing reliability

Inactive Publication Date: 2004-10-20
ZHEJIANG UNIV
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  • Abstract
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Problems solved by technology

However, each biometric identification has its scope of application, so these systems also have their own shortcomings.

Method used

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  • Fingerprint and soundprint based cross-certification system
  • Fingerprint and soundprint based cross-certification system
  • Fingerprint and soundprint based cross-certification system

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Experimental program
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Embodiment Construction

[0007] The present invention will be further described below in conjunction with embodiment. This fingerprint and voiceprint based cross-authentication method:

[0008] Step 1: Fingerprint Authentication

[0009] Fingerprint authentication process: After the fingerprint image is entered, the fingerprint details are obtained as the basic features of the fingerprint through the steps of direction estimation, texture extraction, and detail extraction, and the fingerprint template matching method is used for identification.

[0010] 1. Details extraction

[0011] 1. Direction estimation

[0012] A), the input fingerprint image is divided into small areas of w×w size that do not intersect with each other;

[0013] B), calculate the gradient G of each point in each sub-region x , G y ;

[0014] C), at each point (i, j), calculate the local direction:

[0015] V x ( i , j ...

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Abstract

This invention is a closs certification system to finger print and soundprint, by standard normalization factor method to normalize the indentified result of the fingerprint and soundprint certification of a common area to combine the two values to a new judging vector quantity to train the sample vector first to get the support vector to judge the results by mixing algorithm to get the final result by the method of support vector machine with the advantage of close identity certificating by multicharacters of living things (fingerprint, soundprint) to mix with the method of support vector machine to conbine the two identification results to raise the fault to learnce, lowering uncertainty and increasing the reliability of identifying the decision.

Description

technical field [0001] The invention relates to a biological feature identification technology, mainly a cross-authentication method based on fingerprints and voiceprints. Background technique [0002] Biometric identification technology refers to a technology that utilizes human's own physiological or behavioral characteristics to identify the identity through the computer. Based on behavioral characteristics (voice, keystroke, gait, signature, etc.), the powerful functions of computers and network technology are used for image processing and pattern recognition to identify people's identities. This technology has very good security, reliability and effectiveness. Compared with traditional identification methods, it does not rely on various artificial and additional items to prove the person himself, and it is the person himself who proves himself. Therefore, it will not be lost or forgotten, and it is difficult to forge and counterfeit. It is a co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G10L15/02
Inventor 吴朝晖杨莹春忻栋
Owner ZHEJIANG UNIV
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