A Method of Fruits Recognition Based on SIFT Characteristics Matching

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.