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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1598

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contributor.authorBakshi, S-
contributor.authorRaman, R-
contributor.authorSa, Pankaj K-
identifier.citationINDICON 2011 : Annual IEEE India Conference, 16-18 Dec, 2011en
descriptionCopyright belongs to proceeding publisheren
description.abstractLip is claimed to be a unique organ in human body and hence a candidate for being a biometric. The uniqueness of lip has been proven by the researchers by using color information and shape analysis. These measures of lip are unique for every person. This paper proposes that grayscale lip images constitute local features. The claim has been experimentally established by extracting local features from 23 grayscale lip images from 10 different subjects and measuring the accuracy of match. There are two techniques applied for extraction and matching of local features from lip, viz. SIFT and SURF. The accuracy turns out to be very high (>90%) in both the experiments conducted.en
format.extent400393 bytes-
titleLip Pattern Recognition based on Local Feature Extractionen
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