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：1
页码：023-028
出版社：Journal of Theoretical and Applied
摘要：The human ear is unique and stability and it has broad application prospects in the field of identity verification. Ear image matching is an important part of the ear recognition, has gained widely research. SIFT(Scale invariant feature transform) descriptor is one of the most effective local features that is used for scale, rotation and illumination invariant. In this paper a fast bi-directional matching algorithm based on SIFT is proposed. Firstly the single-feature points and multi-feature points in two images are extracted, then match the single-feature points and multi-feature points respectively by using the BBF(Best Bin First)-based bi-directional matching algorithm. The integrated matching pairs are the final matches. The experimental results show that the proposed algorithm can reduce mismatch probability and decrease the matching time.
