Comparative Analysis of Partial Occlusion Using Face Reco g nitio n Tech n iq u es
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Date
2013
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Abstract
This 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.