DocumentCode :
3398473
Title :
Finger vein identification based on 2-D Gabor filter
Author :
KeJun, Wang ; Jingyu, Liu ; Oluwatoyin, P. Popoola ; WeiXing, Feng
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Volume :
2
fYear :
2010
fDate :
30-31 May 2010
Firstpage :
10
Lastpage :
13
Abstract :
In order to improve the efficiency of finger vein identification, this paper proposed a new identification method based on the direction feature of the vein image. Firstly, 2-D Gabor filter is used to filter the original vein image. Then the phase and direction texture features are extracted. An algorithm is used for fusion at feature level. Finally, a modified Hamming distance measure is used for matching. The proposed method does not require any image pre-processing and positioning. It is easy to use and has a good performance on extracting the vein feature with an identification rate of 99.31%.
Keywords :
Automation; Biometrics; Feature extraction; Fingers; Gabor filters; Humans; Infrared detectors; Principal component analysis; Veins; Wavelet transforms; 2-D Gabor filter; finger vein identification; phase and direction feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7653-4
Type :
conf
DOI :
10.1109/ICINDMA.2010.5538379
Filename :
5538379
Link To Document :
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