Abstract
Face spoof detection has been a topic of interest in research in recent times. Here, a novel approach for face spoof detection addressing print spoof is presented. The novelty lies in distinct features derived from scatter and variance measures on HSI color space. The volumetric measures around the convex hull and geometric description have yielded compact and effective features. It works well with naturally available acquisition devices too. Spoof detection rate is highly significant and works well over inter database protocols too.
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Patil, P.R., Kulkarni, S.S. (2021). A Novel Face Print Spoof Detection Using Color Scatter Measures in HSI Space. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1376. Springer, Singapore. https://doi.org/10.1007/978-981-16-1086-8_43
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DOI: https://doi.org/10.1007/978-981-16-1086-8_43
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