文章基本信息

标题：A NEW EAR RECOGNITION METHOD BASED ON FUSION HARRIS AND SIFT
本地全文：下载
作者：XU CHAO ; TIAN YING
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：48
期号：2
页码：755-761
出版社：Journal of Theoretical and Applied
摘要：Ear recognition is an emerging biometric technology. This paper proposes a new ear recognition method based on SIFT(Scale-invariant feature transform) and Harris corner detection. Firstly, Harris corner points and SIFT keypoints are detected respectively. Then taking Harris corner into the SIFT algorithm to calculate their descriptor as the image feature vectors. Finally the feature vectors are classified by the Euclidean distance, in order to improve recognition rate, two-way match is utilized. Experiments on USTB database show that the recognition rate reaches more 95%. The results prove the effectiveness of the proposed method in term of recognition accuracy in comparison with previous methods.
关键词：Ear Recognition; SIFT; Harris