Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5446
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dc.contributor.authorThakkar, Ankit-
dc.contributor.authorJivani, Nimeshkumar-
dc.contributor.authorPadasumbiya, Jigneshkumar-
dc.contributor.authorPatel, Chirag I-
dc.date.accessioned2015-06-22T11:17:30Z-
dc.date.available2015-06-22T11:17:30Z-
dc.date.issued2013-
dc.identifier.citation4th International Conference on Current Trends in Technology, NUiCONE - 2013, Institute of Technology, Nirma University, November 28 – 30, 2013en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5446-
dc.description.abstractNow a days, security is a major concern for any organization. It is very difficult to have enough faith in any person as far as security of the organization is concerned. Due to these reasons, face recognition gets popularity in the security domain. Many conventional methods are available to do the face recognition. In this paper, we have discussed few of them covering advantages, disadvantages and applications. It is not possible to have a single face recognition method to cover all underlying applications of face recognition system. We have also device a new hybrid method by combining existing approaches of Local Binary Pattern (LBP) and Histogram. This hybrid approach has been tested on standard dataset and compared with LBP. Simulation results shows that proposed hybrid approach outperforms compared to LBP as far as security and speed is concerned.en_US
dc.publisherInstitute of Technology, Nirma University & IEEEen_US
dc.relation.ispartofseriesITFIT007-10;-
dc.subjectHistogramen_US
dc.subjectPronciple Component Analysisen_US
dc.subjectLocal Binary Patternen_US
dc.subjectLocal Derivative Patternen_US
dc.subjectNeural Networken_US
dc.subjectComputer Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFIT007en_US
dc.titleA New Hybrid Method For Face Recognitionen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, CE

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