Non-contact biometric feature identification method and system

A biometric feature recognition and biometric technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of less feature information, poor anti-counterfeiting ability, and low identification accuracy

Active Publication Date: 2012-07-04
BEIJING WHOIS TECH
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AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a non-contact biometric identification method, which can solve the problem of using a separate palm vein

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  • Non-contact biometric feature identification method and system
  • Non-contact biometric feature identification method and system
  • Non-contact biometric feature identification method and system

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Embodiment Construction

[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046] refer to figure 1 , showing the flow of the first embodiment of the non-contact biometric identification method of the present invention, which specifically includes the following steps:

[0047] Step S11: extracting the biological characteristics of the visible light image and the near-infrared image collected in a non-contact manner;

[0048] Step S12: Calculate the similarity x between the biometric features of the visible light image and the near-infrared image and the corresponding biometric template 1 and x 2 ;

[0049] Step S13: the above x 1 and x 2 The composition of the tested sample x=(x 1 x 2 ) is compared with the training samples;

[0050] When constructing the decision boundary, various methods such...

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Abstract

The invention provides a non-contact biometric feature identification method and system. The method comprises the following steps of: extracting biometric features of a visible light image and a near-infrared image collected in a non-contact way; calculating the similarity x1 between the biometric feature of the visible light image and a prestored visible light biometric feature template and the similarity x2 between the biometric feature of the near-infrared image and a prestored near-infrared light biometric feature template; and comparing a detected sample x=(x1 x2) consisting of x1 and x2 with a training sample to judge whether the detected sample belongs to a within-class sample, and if so, judging that the identification is successful. By using the method provided by the embodiment of the invention, the identification precision of the method is greatly higher than that of a single biometric feature identification way, and the problems of less feature information and low distinguishing precision caused by the adoption of the current single palm pulse identification way and poorer anti-fake capability caused by the adoption of a single palm print identification way can be solved.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a non-contact biological feature identification method and system. Background technique [0002] The identification technology based on human biological characteristics is referred to as biometric technology, which is an interdisciplinary subject combining biological information technology and computer technology that has emerged in recent years. The so-called biometric technology refers to the use of the inherent physical characteristics of the human body, such as fingerprints, palm prints, irises, faces, etc., and behavioral characteristics, such as voice, handwritten signature, gait, etc., as personalized representations of people. A technique for identifying a person. Compared with traditional keys, passwords and ID cards and other identity representations, human biometrics have the advantages of not being easily forgotten, lost and forged. Therefore, biometri...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 李彬曲寒冰王加强
Owner BEIJING WHOIS TECH
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