Title :
Finger vein feature extraction based on linear weighting function immune clone algorithm
Author :
Xu Qiang ; Yang Jia
Author_Institution :
Coll. of Comput. Sci. & Inf. Eng, Chongqing Technol. & Bus. Univ., Chongqing, China
Abstract :
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.
Keywords :
blood vessels; feature extraction; medical image processing; LWF immune clone algorithm; finger vein feature extraction algorithm; linear weighting function immune clone algorithm; low quality image; noise interference suppression; noise misjudgment; vein information; vein recognition technology; Business; Cloning; Electronic mail; Feature extraction; Fingers; Noise; Veins; Immune Clone; Linear Weighting Function; Vein Recognition;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768