J. Doublet, O. Lepetit, and M. Revenu (France)
Biometrics, Image Segmentation, Pattern Recognition, Color and Texture.
More and more research have been developed very recently for automatic hand recognition. This paper proposes a new method for contactless hand authentication in complex im ages. Our system uses skin color and hand shape informa tion for hand detection process. Next, the palm is extracted and characterized by circular Gabor filter. Finally, the palm features are matched by a new normalized approximated string matching. The experimental results present an error rate lower than 1.2% with a population of 49 people. We show that our method improves the performances of two palmprint methods 2D-Gabor and PPOC on our database.
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