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Finger vein identification based on 2-D Gabor filter

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4 Author(s)
Wang KeJun ; Coll. of Autom., Harbin Eng. Univ., Harbin, China ; Liu Jingyu ; Oluwatoyin, P.P. ; Feng WeiXing

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%.

Published in:

Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on  (Volume:2 )

Date of Conference:

30-31 May 2010