一种基于边界特征的耳廓提取新方法

New ear contour extraction method based on edge feature

在实际的人耳识别系统中,人耳的准确定位是影响识别率的一个重要因素。根据外耳及其所在位置的特征,提出了一种从侧脸图像上准确定位并提取出人耳的新方法。该方法首先对侧脸图像进行阈值化和差分处理,然后将外耳边缘轮廓分为3个区域,利用阈值图像和差分图像以及3个区域的不同走向分别跟踪得到整个外耳轮廓线,并从侧脸图像中提取出外耳图像。该方法运算量小,定位精确,得出的外耳轮廓图像清晰完整无任何干扰,而且定位成功率高。

Ear detection is an important step in ear recognition and the exact localization for ear directly affects the final recognition rate. According to the feature of ear and its position on the side face, a method based on edge-tracking was adopted for human ear localization and extraction from side face images. At first, binary image was generated by using an adaptive thresholding segmentation method, and difference image was obtained by using a difference model; Then outer ear was divided into three regions depending on different orientation tendency. The binary image and the difference image were combined with the original image to find the contour of the three regions respectively and the information of ear＇s position in side face. Experimental results show that our method is simple, its localization accuracy is high, and the extracted ear contour edge is clear, connected and non-disturbed.