DocumentCode
2869266
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.
fYear
2006
fDate
25-28 June 2006
Firstpage
1790
Lastpage
1795
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMA.2006.257486
Filename
4026364
Link To Document