Finger vein feature extraction based on linear weighting function immune clone algorithm

摘要

With the vein recognition technology develops in the direction towards products, the demanding of extraction algorithms on the veins become increasing. To solve the misjudgment of noise and vein information in features extraction from low quality images, a novel method based on LWF (Linear weighting function) immune-clone algorithm is proposed in this paper. The simulation results demonstrate that the method can helps to boost the growth of the vein information, suppress the interference of noise. It possess good self-adaption, anti-interference and practicability.