A Method of Fruits Recognition Based on SIFT Characteristics Matching

Authors:
Wan-gan Song;Hong-xia Guo;Yan Wang
Affiliations:
-;-;-
Venue:
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 03
Year:
2009

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Abstract

SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorith- m according to fruits images. The algorithm uses SIFT chara- cteristics as matching feature, then introduces Euclidean dis- tance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false match- ing points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and mat- ching with translation, rotation, scaling, and partial occlusion.