Comparative Analysis of Partial Occlusion Using Face Reco g nitio n Tech n iq u es

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dc.categoryJournal Article
dc.contributor.authorRadha, V
dc.date.accessioned2017-03-28T22:43:02Z
dc.date.available2017-03-28T22:43:02Z
dc.date.issued2013
dc.departmentComputer Scienceen_US
dc.description.abstractThis paper presents a comparison of partial occlusion using face recognition techniques that gives In which technique produce better result (or total success rata. The partial occlusion of (ace recognition is especiaily useful (or people where part of their face Is scarred and defect thus.need to be covered. Hence, either top part/eye region or bottom part of face will be recognized respectively. The partial face Information are tested with Principle Component Analysis (PCA), Non-negative matrix factorization (NfvlF), Local NMF (LNMF) and Spatially Confined NMF (SFNMF). The comparative results show that the recognition rate of 95.17% with r = 80 by using SFNMF (or bottom face region. On the other hand, eye region achieves 95.12% with r = 10 by using LNMF.en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/2249
dc.langEnglishen_US
dc.publisher.nameInternational Journal of Image Processingen_US
dc.publisher.typeInternationalen_US
dc.titleComparative Analysis of Partial Occlusion Using Face Reco g nitio n Tech n iq u esen_US
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