Title :
A study of hand vein recognition method
Author :
Ding, Yuhang ; Zhuang, Dayan ; Wang, Kejun
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., China
fDate :
29 July-1 Aug. 2005
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;
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
DOI :
10.1109/ICMA.2005.1626888
