Lip Pattern Recognition based on Local Feature Extraction

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

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DC Field	Value	Language
dc.contributor.author	Bakshi, S	-
dc.contributor.author	Raman, R	-
dc.contributor.author	Sa, Pankaj K	-
dc.date.accessioned	2012-01-16T06:33:33Z	-
dc.date.available	2012-01-16T06:33:33Z	-
dc.date.issued	2011-12	-
dc.identifier.citation	INDICON 2011 : Annual IEEE India Conference, 16-18 Dec, 2011	en
dc.identifier.uri	http://hdl.handle.net/2080/1598	-
dc.description	Copyright belongs to proceeding publisher	en
dc.description.abstract	Lip 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
dc.format.extent	400393 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	Lip Pattern Recognition based on Local Feature Extraction	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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