Paper
27 October 2021 Finger region extraction using color of skin for hand-waving finger vein authentication
Hiroyuki Suzuki, Narissa Ditthapakdijanya, Takashi Komuro, Keiichiro Kagawa, Kazuya Nakano, Takashi Obi
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Abstract
In our previous study, we proposed a hand-waving finger vein authentication system, in which finger region extraction from captured images was effective to verify the finger vein patterns with high accuracy. However, it is not easy to extract the correct finger region from grayscale images that are taken with a near infra-red LED, because the background condition of the captured image changes complicatedly according to the location of the waving hand. In order to overcome this limitation, we propose an alternative finger region extraction method that takes color images with an RGB camera and a white light source and identifies the finger region based on the skin color information.
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Hiroyuki Suzuki, Narissa Ditthapakdijanya, Takashi Komuro, Keiichiro Kagawa, Kazuya Nakano, and Takashi Obi "Finger region extraction using color of skin for hand-waving finger vein authentication", Proc. SPIE 11925, Biomedical Imaging and Sensing Conference 2021, 119250X (27 October 2021); https://doi.org/10.1117/12.2615690
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