关键词: Hausdorff距离, 人耳检测, 图像匹配, 轮廓加权

Abstract: An ear detection algorithm is proposed in order to make image matching accurate.The algorithm gives weighted inside and outside contour and uses Hausdorff distance to detect ear image.If image has noises or outside ear contour is not continuous，the result of detection is not good by using classical Hausdorff distance.For making the position of detection close to the outside ear contour，the outside ear contour needs to be emphasized.It is realized by giving larger weight for outside ear contour than inside ear contour.And then weighted contour combining with weighted Hausdorff distance is to match ear image.Experiments show that the algorithm proposed in this paper is effective.Compared with classical Hausdorff distance and average Hausdorff distance，the result of weighted contour algorithm is more precise.

Key words: Hausdorff distance, human ear detection, image matching, weighted contour