Finger vein recognition and safety authentication method, terminal and system

Abstract

The invention discloses a finger vein recognition and safety authentication method, a terminal and a system. The finger vein recognition and safety authentication method comprises a collection step, that is, information of a vein image of the finger part is collected, and encryption is performed on the vein image; an image processing step; a feature extraction step, that is, detail point feature extraction and storage are performed on the vein image conforming to quality evaluation requirements; and feature point matching step, that is, stored vein image detail point features are taken, comparative analysis is performed on the stored vein image detail point features and a vein image to be detected, detail point position and angle information is compared, a matching operation is completed,and a result is outputted. Meanwhile, the invention further comprises a finger vein recognition and safety authentication terminal and a system. According to the invention, a series of image processing and feature extracting operations are performed on the collected finger vein image, so that the finally recognized vein image is enabled to be accurate and clear, and the accuracy and the response speed of the whole finger vein recognition are effectively enhanced. Meanwhile, encryption processing is performed on the vein image, so that the confidentiality of the whole recognition system is improved, and the system is enabled to be safer and more reliable.

Description

technical field [0001] The invention relates to the technical field of vein identification, in particular to a finger vein identification and security authentication method, and a terminal and system applying the method. Background technique [0002] Finger vein recognition is a kind of vein recognition. Firstly, the distribution map of personal hand and finger veins is obtained through the finger vein recognition instrument, and the characteristic values ​​are extracted from the finger vein distribution map according to a special comparison algorithm. After near-infrared light irradiation, the CCD camera is used to obtain hand and finger veins. For the image of the vein, the digital image of the vein of the hand and finger is stored in the computer system, and the characteristic value is stored. Since veins are hidden inside the body, they are not easy to steal or copy. Only living bodies have veins, which are more secure than traditional fingerprint identification. Therefo...

AI Technical Summary

Problems solved by technology

[0003] In the process of finger vein recognition, the collected vein image processing and feature extraction are the key to the recognition work. If the collected vein image cannot be effectively extracted and the effective feature extraction is selected, the subsequent comparison and recognition operation will be affected. , thus affecting the accuracy and response speed of the entire finger vein recognition system, seriously affecting the recognition efficiency

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