Application Fast Bi-directional Match for in Ear Recognition Based on Sift Features
نویسندگان
چکیده
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.
منابع مشابه
Fast Bi-directional SIFT Algorithm and Application
SIFT (Scale invariant feature transform) descriptor is one of the most effective local features that is used for scale, rotation and illumination invariant of automatic image registration. In this paper a fast bi-directional matching algorithm based on SIFT was proposed for improving match accuracy and reducing match time. Firstly the single-feature points and multi-feature points in two images...
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