DocumentCode
1852989
Title
A study of hand vein recognition method
Author
Ding, Yuhang ; Zhuang, Dayan ; Wang, Kejun
Author_Institution
Dept. of Autom., Harbin Eng. Univ., China
Volume
4
fYear
2005
fDate
29 July-1 Aug. 2005
Firstpage
2106
Abstract
In this paper, the theoretical foundation and difficulties of hand vein recognition are introduced at first. Then, the threshold segmentation method and thinning method of hand vein image are deeply studied and a new threshold segmentation method and an improved conditional thinning method are proposed. The method of hand vein image feature extraction based on end points and crossing points is studied initially, and the matching method based on distances is used to match vein images. The matching experiments indicated that this method is efficiently.
Keywords
feature extraction; image recognition; image segmentation; image thinning; conditional thinning method; feature matching; hand vein recognition; image feature extraction; threshold segmentation; Authentication; Automation; Character recognition; Feature extraction; Fingerprint recognition; Humans; Image recognition; Image segmentation; Safety; Veins;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN
0-7803-9044-X
Type
conf
DOI
10.1109/ICMA.2005.1626888
Filename
1626888
Link To Document