Adaptive Facial Detection & Recognition Algorithm for Partially Occlude Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
In the present study we present an innovative approach towards countering the problem of partial occlusion in face recognition scenario. The partial occlusion can be caused by various objects such as scarfs, sunglasses etc., and its effects are confounding in the performances of the recognition rates. The framework tends to mathematically model the curvature and other essential features of the face such as micro-expression and the curves of the facial regions. This, significantly enhances the probability of matching the parent image to that of the occlude image. The proposed algorithm is tested over Extended Yale B & CMU PIE standardized datasets.
Authors and Affiliations
Priya Matte, Rohit Raja
Keywords
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