Palm vein fusion feature recognition method

Abstract

The invention relates to a palm vein fusion feature recognition method. According to the palm vein fusion feature recognition method, the vein line features of four finger areas and one palm area are extracted to be matched, and the identity of a user is discriminated through fusion of the matching result of the five areas so that reliable identity authentication can be realized. The finger vein features of the four fingers and the palm vein features of one palm area are fused so that the feature discrimination capacity can be enhanced and the security of feature recognition can be enhanced; meanwhile, the vein feature matching result of the five areas is fused by using a Gaussian membership function so that the robustness of a feature matching algorithm can be enhanced. The relevant data can be acquired in one step by using the same set of vein acquisition equipment, and the feature discrimination capability can be enhanced and the security performance of identity authentication can be enhanced under the condition that the equipment cost and the acquisition convenience are basically the same so that the palm vein fusion feature recognition method can be widely applied to intelligent entrance guard systems.

Description

technical field [0001] The invention relates to a finger-palm vein fusion feature recognition method, which belongs to the technical field of security biometric feature recognition. Background technique [0002] With the rapid development of computer network information technology, the protection of personal information is becoming more and more important. How to choose a reasonable authentication technology is a necessary factor to ensure information security. Compared with traditional authentication methods such as keys, passwords, and smart IC cards, biometric technology uses the inherent physiological or behavioral characteristics of the human body as authentication methods. It has been applied to various fields such as identity authentication, entrance and exit management, and security monitoring. Vein recognition is a new generation of biometric identification technology. Its main advantages are: veins are hidden inside the body and are not easy to be copied, stolen o...

AI Technical Summary

Problems solved by technology

However, the collection methods of the vein pattern inside the finger and the pattern on the surface of the finger are different, so the integration of these two technologies needs to increase the equipment cost. At the same time, the collection needs to be carried out twice, which is not convenient.

Moreover, the surface texture of the finger is greatly affected by external influences such as wear and tear, and the safety is not high.

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