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.

To improve the viability of the authors' previous work regarding single-view-based ear biometrics, empirical evaluations were performed using super-resolution images and images with barrel distortion.

No abstract