Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1598
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBakshi, S-
dc.contributor.authorRaman, R-
dc.contributor.authorSa, Pankaj K-
dc.date.accessioned2012-01-16T06:33:33Z-
dc.date.available2012-01-16T06:33:33Z-
dc.date.issued2011-12-
dc.identifier.citationINDICON 2011 : Annual IEEE India Conference, 16-18 Dec, 2011en
dc.identifier.urihttp://hdl.handle.net/2080/1598-
dc.descriptionCopyright belongs to proceeding publisheren
dc.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
dc.format.extent400393 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.titleLip Pattern Recognition based on Local Feature Extractionen
dc.typeArticleen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
PID2123737.pdf391.01 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.