Please use this identifier to cite or link to this item: http://202.88.229.59:8080/xmlui/handle/123456789/364
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dc.contributor.authorR, Reji-
dc.date.accessioned2017-06-07T08:51:30Z-
dc.date.available2017-06-07T08:51:30Z-
dc.date.issued2012-
dc.identifier.urihttp://202.88.229.59:8080/xmlui/handle/123456789/364-
dc.description.abstractFace Recognition has become one of the most attractive research area among Computer Vision and Image processing researchers.This technique is one of the least intrusive modalities in biometrics.Face is the only biometric that allows us to perform passive detection. Biometrics is a science that could assist in this recognition process.There is a number of reasons to make face biometric to be superior compared to other biometric. Face Contain Anatomical information which is unique to each person and no physical interaction is needed.There is a growing need for an accurate and automatic human recognition procedure. Pattern recognition techniques are an important component of intelligent systems and are used for data processing and decision making.FACE recognition in 2-D and 3-D has been addressed using a variety of methods, including alignment, subregion matching,mapping, and principal component analysis (PCA).en_US
dc.publisherM G Universityen_US
dc.subjectComputeren_US
dc.subjectFACEen_US
dc.subjectBiometricen_US
dc.titleFACE The most Attractive Biometricen_US
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