Finger palm vein fusion feature recognition method

Abstract

The invention relates to a feature recognition method for finger-palm vein fusion. A feature recognition method for finger-palm vein fusion is provided, which extracts vein pattern features of four finger areas and one palm area for matching, and fuses the matching results of five areas to identify the user's identity, which can realize reliable identity authentication. The fusion of the finger vein features of four fingers and the palm vein features of a palm area enhances the feature identification ability and improves the security of feature recognition; at the same time, the Gaussian membership function is used to carry out the matching results of the vein features of the five areas. Fusion enhances the robustness of the feature matching algorithm. This method uses the same set of vein collection equipment to collect relevant data at one time. Under the condition that the equipment cost and collection convenience are basically unchanged, the identification ability of features is enhanced, and the security performance of identity authentication is improved. It can be widely used in intelligent access control 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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