A New Ear Recognition Method Based on Fusion Harris and Sift
نویسندگان
چکیده
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.
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