Abstract:To deal with variations in poses that are rotated in depth, the authors have previously introduced a method where the Gabor jets of different poses are estimated and used as training data for a discriminant analysis-based classifier. To improve the viability of the authors' methods, experimental evaluations are conducted under realistic scenarios.

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Abstract. To improve on our earlier work on single-view-based ear biometrics, an estimation method is presented for the shooting angle of an ear image based on the summation of similarity scores over a threshold within a database of known shooting angles. Experimental results indicate that the estimation method can improve the robustness of ear recognition in varied poses.

An algorithm that improves the robustness of an ear biometric system is proposed and targeted for use in surveillance systems based on ear biometrics. To deal with pose variation when ears are rotated in depth, 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 possibility of improving the robustness of a single-view-based ear surveillance-system. キーワード：耳介認証，ガボールフィルタ，判別分析 研究速報 2011年3月11日受付，2011年5月20日採録 †埼玉工業大学

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