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Towards the Generation of Synthetic Images of Palm Vein Patterns: A Review. (arXiv:2205.10179v1 [cs.CV])
May 23, 2022, 1:12 a.m. | Edwin H. Salazar-Jurado, Ruber Hernández-García, Karina Vilches-Ponce, Ricardo J. Barrientos, Marco Mora, Gaurav Jaswal
cs.CV updates on arXiv.org arxiv.org
With the recent success of computer vision and deep learning, remarkable
progress has been achieved on automatic personal recognition using vein
biometrics. However, collecting large-scale real-world training data for palm
vein recognition has turned out to be challenging, mainly due to the noise and
irregular variations included at the time of acquisition. Meanwhile, existing
palm vein recognition datasets are usually collected under near-infrared light,
lacking detailed annotations on attributes (e.g., pose), so the influences of
different attributes on vein recognition …
More from arxiv.org / cs.CV updates on arXiv.org
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