期刊
2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING & SECURITY [ICCCS-2012]
卷 1, 期 -, 页码 344-353出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.protcy.2012.10.041
关键词
Face Recognition; Feature Extraction; Discrete Wavelet Transform; Binary Particle Swarm Optimization; Edge Detection; Scale Normalization
This paper proposes a novel preprocessing technique in order to achieve an increased recognition rate in face recognition (FR) systems. The proposed Edge Tracked Scale Normalization (ETSN) process involves the use of scale normalization along with edge detection as a preprocessing technique in order to eliminate unwanted background details. Feature extraction is performed on the preprocessed image using Discrete Wavelet Transform (DWT) and optimization in feature selection is achieved by Binary Particle Swarm Optimization (BPSO) technique. Computationally efficient FR system is obtained for Color FERET, Cambridge ORL, Extended YALE B and CMU PIE face databases using the proposed ETSN technique. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Department of Computer Science & Engineering, National Institute of Technology Rourkela
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