Finger vein recognition method based on multi-angle imaging

Abstract

The invention discloses a finger vein recognition method based on multi-angle imaging. The finger vein recognition method comprises the steps that a finger is rotated and photographed to obtain a 360-degree finger image; selecting a to-be-processed finger vein image from the 360-degree finger image, the to-be-processed finger vein image comprising an image right above the finger and an image rightbelow the finger, and further comprising images rotating forward and backward by a preset angle relative to the image right above the finger and the image right below the finger; extracting an ROI region from the finger vein image to be processed by adopting a sliding window method; enhancing the ROI region to obtain a to-be-identified image; extracting to-be-identified features from the to-be-identified image; mATCHING IDENTIFICATION OF FEATURES. Effective feature extraction and fusion are carried out on multi-angle finger vein information, more finger vein useful information is fully utilized, and the finger vein recognition rate is improved; and the problem that the finger vein recognition rate is reduced due to axial rotation of the finger is solved, the problem of axial rotation of the finger vein is effectively solved, and high robustness is achieved.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a finger vein recognition method based on multi-angle imaging. Background technique [0002] Finger vein recognition technology is the use of near-infrared rays to penetrate the vein pattern image obtained after the finger for personal identification. It is the world's most cutting-edge biometric technology with high precision and high speed. Among various biometric identification technologies, it is attracting attention as a second-generation biometric identification technology with high anti-counterfeiting because it is a technology for identification using internal biological characteristics that cannot be seen from the outside. At present, it is widely used in public domain authentication equipment such as membership identification machine, bank ATM machine, access control management system, PC login, instead of car lock, safe management, copier management, electronic payment a...

AI Technical Summary

Problems solved by technology

Due to the abundant blood vessels in finger veins, this method will lead to the problem of easy loss of information on the side of finger veins, poor edge imaging, and loss of useful information at the edge of finger veins, which in turn leads to a high probability of false matching in finger vein recognition.

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