Journal
INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011
Volume 30, Issue -, Pages 750-758Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2012.01.924
Keywords
Face Recognition; Image Pre-processing; Feature Selection; Feature Extraction; DCT; ABPSO
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Feature Selection is an optimization problem in any Face Recognition technology. This paper proposes a novel method of Binary Particle Swarm Optimization called Accelerated Binary Particle Swarm Optimization (ABPSO) by intelligent acceleration of particles. Together with Image Pre-processing techniques such as Resolution Conversion, Histogram Equalization and Edge Detection, ABPSO is used for feature selection to obtain significantly reduced feature subset and improved recognition rate. The performance of ABPSO is established by computing the recognition rate and the number of selected features on ORL database and Cropped Yale B database. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011.
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