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Published in:
2014 | OriginalPaper | Chapter
Palm Vein Identification Based on Multi-direction Gray Surface Matching
Authors : Wei Wu, Wen Jin, Jin-Yu Guo
Published in: Biometric Recognition
Publisher: Springer International Publishing
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In order to improve the recognition accuracy with high speed, a palm vein identification method based on multi-direction gray surface matching is proposed. The algorithm extracts region of interesting (ROI) of palm vein image firstly. Then, it computes the multi-direction gray scale’s difference in the matching of surface of two ROI. The variances of the multi-direction grayscale difference surface are calculated and the minimum of variance is considered as the distance between two feature surfaces. At last, the algorithm decides whether these two images come from the same hand or not according to the distance. In the self-build palm vein database, the recognition rate of this method reaches 98.48% and the speed is 21.8ms. Comparing with other typical palm vein recognition methods, the proposed approach improves CCR and decreases FAR.