A Method of Fruits Recognition Based on SIFT Characteristics Matching

SIFT (scale invariant feature transform) used in fruits recognition presents a characteristics matching algorithm according to fruits images. The algorithm uses SIFT characteristics as matching feature, then introduces Euclidean distance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false matching points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and matching with translation, rotation, scaling, and partial occlusion.