A comprehensive approach for skin recognition

Authors:
Zhi Zhou;Eliza Y. Du;Yong Lin;Edward J. Delp
Affiliations:
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 Scien ...;School of Electrical and Computer Engineering Purdue University, West Lafayette 47907, USA
Venue:
International Journal of Biometrics
Year:
2012

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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.