Affine-invariant Product Image Matching for Automatic Logistic Control

This paper develops a new type of image matching technology for product class recognition in supermarket logistic management. The scale and affine changes of product images are tackled by using the advanced SIFT keypoint matching algorithm. We increase the precision of matching where product images are taken from arbitrary angle and distance. The application shows that this system runs stably and accurately. The technology and methods adopted in the system are practical and worthy of using abroad.