Title :
Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision
Author :
Wang, Kejun ; Zhang, Yan ; Yuan, Zhi ; Zhuang, Dayan
Author_Institution :
Dept. of Autom., Harbin Eng. Univ.
Abstract :
As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the proposed methods can significantly improve the recognition accuracy and reliability compared to the previous hand vein recognition
Keywords :
biometrics (access control); image recognition; biometric feature authentication system; hand vein recognition; multi supplemental features; multi-classifier fusion decision; Authentication; Automation; Biometrics; Character recognition; Feature extraction; Fingerprint recognition; Image recognition; Pattern recognition; Security; Veins; Biometrics; Decision Fusion; Hand Vein Recognition; Multi-Classifier; Pattern Recognition;
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
DOI :
10.1109/ICMA.2006.257486
