Skin diagnosis algorithm for analysis of skin images captured from a fingerprint sensor
by Hideyo Takeuchi, Masahiro Hoguro, Tatsuki Yoshimine, Taizo Umezaki
International Journal of Computer Applications in Technology (IJCAT), Vol. 34, No. 4, 2009

Abstract: This paper presents a skin diagnosis algorithm installable in cell phones that have fingerprint identification function. The algorithm can analyse low contrast skin images captured from a fingerprint sensor based on two dimensional linear prediction analysis. The authors' devices can be smaller than conventional skin diagnosis devices having a camera, without an optical lens or a focus adjustment apparatus. Especially, it can be installed in fingerprint identification devices as a bonus application. The authors' algorithm presented in this paper has been embedded in Pantech PG-6200 mobile phone.

Online publication date: Wed, 25-Mar-2009

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