International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 12, December 2013 Edition [ISSN 2250-3153]


Genetic Algorithm Based Recognizing Surgically Altered Face Images for Real Time Security Application
      E. Sumathi, Mrs. P. Raja Rajeswari
Abstract: Using a Multi-objective evolutionary granular algorithm is proposed to match face images before and after plastic surgery. The algorithm first generates non-disjoint face granules at multiple levels of granularity. The granular information is assimilated using a multiobjective genetic approach that simultaneously optimizes the selection of feature extractor for each face granule along with the weights of individual granules. On the plastic surgery face database, the proposed algorithm yields high identification accuracy as compared to existing algorithms and a commercial face recognition system. Our evaluation results obtained using genetic algorithm with data sets.

Reference this Research Paper (copy & paste below code):

E. Sumathi, Mrs. P. Raja Rajeswari (2018); Genetic Algorithm Based Recognizing Surgically Altered Face Images for Real Time Security Application; Int J Sci Res Publ 3(12) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1213.php?rp=P242086
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