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中国图象图形学报 2009
Human Ear Detection and Recognition Based on Face Profile and Ear Feature
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Abstract:
A new method which combined face profile, ear feature and relative position of ear and face profile to detect and recognize human ear is proposed in this paper. This method consists of off-line training and on-line detection and recognition. At the offline stage, a compositive feature vector which includes face profile contour, ear coordinates and the statistical features of ears is obtained. At the online stage, the ear is coarsely detected by the face profile contour, and accurately localized and recognized by the statistical features of ears and the relative position. Experimental results with real ear images show that the proposed method has good performance.