Title: A comprehensive approach for skin recognition

Authors: Zhi Zhou; Eliza Y. Du; Yong Lin; Edward J. Delp

Addresses: Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, USA. ' Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, USA. ' Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, USA; School of Computer Science and Technology, Xidian University, Xi'an 71007, China. ' School of Electrical and Computer Engineering Purdue University, West Lafayette 47907, USA

Abstract: In this paper, we proposed a new skin recognition method for human identification. We designed an automatic segmentation method to extract region of interest from a face image, the 1-D Log-Gabor wavelet-based approach for skin feature extraction, and two fusion methods to improve the recognition accuracy. The experimental results show that the proposed method can achieve high recognition accuracy and has better performance than traditional face recognition methods.

Keywords: human identification; skin recognition; face recognition; score fusion; biometrics; feature extraction.

DOI: 10.1504/IJBM.2012.046243

International Journal of Biometrics, 2012 Vol.4 No.2, pp.165 - 179

Received: 14 May 2011
Accepted: 12 Jul 2011

Published online: 25 Mar 2012 *

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