A Simplified FDDL Algorithm for Face Recognition
Abstract
In this paper, a modified Fisher Discrimination Dictionary Learning method is introduced, which is suitable for face recognition without and with disguise. In the proposed method the new optimization model is establish, so as to preserve intrinsic complementary penalty as well as able to simplify calculation of original algorithm. The effective and efficient of the proposed method is demonstrated experimentally by considering the YALE, ORL, and AR face database.
Keywords
Sparse representation, Fisher discrimination, Dictionary learning
DOI
10.12783/dtcse/wcne2016/5131
10.12783/dtcse/wcne2016/5131
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