A Coupon Classification Method Based on Adaptive Image Vector Matching

摘要

This paper describes a coupon classification system based on image vector matching. This method features following two points. (1) Extract a feature vector from a gray-scale image using a feature map which is derived from training coupon images. (2) Classify a coupon image by adaptive mask distance to cope with the recognition difficulty such as partial cutting of coupon and putting stamp on it. We have implemented this method and experimented with collected samples. It achieved 100% of recognition rates, processing speed 11.76msec/sheet to 969 images for 42 kinds of coupon samples.