为实现人耳的自动检测与识别，提出了结合侧面轮廓特征、人耳统计特征以及人耳与侧面轮廓的位置特征进行人耳检测与识别的方法。该方法分为离线的训练阶段和在线的检测与识别阶段。在离线阶段，通过训练得到一个综合特征向量，包括人脸侧面轮廓特征、人耳统计特征以及人耳相对于侧面轮廓的位置特征。在线的检测与识别过程分为两步：第1步是用侧面人脸轮廓进行粗检测，第2步是用人耳的统计特征和相对于侧面轮廓的位置特征进行精确定位和识别，即在定位的同时实现人耳的识别。实验结果表明，上述方法具有速度快、效率高和鲁棒性好的特点。

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.