Finger vein recognition method and system based on convolutional neural network and SIFT algorithm

Abstract

The invention provides a finger vein recognition method and system based on a convolutional neural network and an SIFT (scale invariant feature transform) algorithm, and the implementation process ofthe method comprises the following steps: firstly, obtaining a finger vein image of a to-be-recognized user through data collection; secondly, preprocessing the received original vein image information, and extracting a region of interest of the image; and finally, extracting vein image feature information of the finger of the user to be identified through a neural network in combination with a SIFI algorithm, and identifying the acquired finger vein image feature information of the user to be identified further, so that the purpose of identifying identity information corresponding to the finger vein information is achieved. According to the invention, the finger vein features can be effectively extracted, the redundancy of noise is improved, and the recognition precision of a finger veinrecognition system is obviously improved.

Description

technical field [0001] The invention relates to a finger vein recognition method and system based on a convolutional neural network and a SIFT algorithm, in particular to the technical field of biological feature recognition. Background technique [0002] Finger vein recognition is a kind of biometric technology, which uses the superficial veins on the palm of the finger for identification. As an emerging biometric method, finger vein recognition method has attracted widespread attention because of its high security, advantages in living body recognition and high specificity. [0003] The principle of finger vein biometric recognition is to use a special camera to obtain a finger vein image formed by the absorption of near-infrared light by deoxygenated hemoglobin in the blood. Then the image is converted and stored as a human body biometric authentication data template. During authentication, obtain the finger vein image of the user to be identified, generate biometric da...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, in the process of finger vein recognition, the traditional finger vein image recognition method is affected by many factors, and there are problems such as difficulty in obtaining finger vein images, easy noise interference of vein images, and lack of specificity in finger vein features.

Therefore, the current method based on manual features is difficult to effectively extract finger vein pattern information, resulting in limited recognition performance of the authentication system.

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