Human Ear Detection from Side Face Range Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Localization of Ear Using Outer Helix Curve of the Ear
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WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
An efficient ear localization technique
Image and Vision Computing
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Personal identification based on the ear structure is an emerging biometrics. Clearly ear segmentation plays a vital role in automated ear recognition methods. In this paper, a new segmentation method for ear recognition is proposed. We apply the Canny edge detector to an ear image. Then the longest path in the edge image is extracted and selected as the outer boundary of the ear. By selecting the top, bottom, and left points of the detected boundary, we form a triangle with the selected points as its vertices. Further we calculate the barycenter of the triangle and select it as a reference point in all images. Then the ear region is extracted from the entire image using a predefined window centered at the reference point. Experimental results show the effectiveness of our proposed method.