Improving the robustness of single-view-based ear recognition when rotated in depth

Authors:
Daishi Watabe;Takanari Minamidani;Hideyasu Sai;Katsuhiro Sakai;Osamu Nakamura
Affiliations:
Saitama Institute of Technology, Fukaya, Saitama, Japan;Saitama Institute of Technology, Fukaya, Saitama, Japan;Saitama Institute of Technology, Fukaya, Saitama, Japan;Saitama Institute of Technology, Fukaya, Saitama, Japan;Kogakuin University, Tokyo, Japan
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Year:
2012

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Abstract

An algorithm is proposed that improves the robustness of ear biometric systems with the aim of developing a surveillance system based on ear biometrics. To deal with pose variations that are rotated in field depth, the Gabor jets of different poses are estimated and used as training data for a discriminant analysis-based classifier. Experimental evaluations show the effectiveness of the proposed algorithm, and the potential for improving the robustness of a single-view-based ear-biometric surveillance system.