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dc.contributor.authorDas, Sanjib
dc.contributor.authorChakraborty, Dulal
dc.contributor.authorHoque, A.H.M. Sajedul
dc.contributor.authorBhuiyan, Md. Al-Amin
dc.date.accessioned2016-03-02T19:39:10Z
dc.date.available2016-03-02T19:39:10Z
dc.date.issued2015
dc.identifier.citationDas, Sanjib; Chakraborty, Dulal; Hoque, A.H.M. Sajedul and Bhuiyan, Md. Al-Amin (2015). Face recognition employing principle component analyais. NUB Journal of Applied Sciences, 1(1), 33 - 37.en_US
dc.identifier.issn2307-8065
dc.identifier.urihttp://hdl.handle.net/123456789/844
dc.description.abstractFace recognition is an important and challenging field in computer vision. This research present a system that is ca-pable of recognizing a person’s face by comparing facial structure to that of a known person which is achieved by us-ing frontal view facing photographs of individuals to render a two-dimensional representation of a human face. The system is based on Eigenface approach. Various symmetrization techniques are used for preprocessing the images in order to handle bad illumination and face alignment problem. Experimental results demonstrate that the implemented eigenface-based technique classified the faces with accuracy more than 90%.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Science and Engineering, Northern University Bangladeshen_US
dc.subjectPrinciple component analysisen_US
dc.subjectEigenvectoren_US
dc.subjectEigenvalueen_US
dc.subjectEigenfaceen_US
dc.subjectFace recognitionen_US
dc.titleFace recognition employing principle component analyaisen_US
dc.typeArticleen_US


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