Histogram as a measure of shape matching
Min Hyuk Chang, Kyung-Sik Seo, Hye-Jin Park, Jong-An Park · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
This paper describes a new shape matching using image projection features. The corners are located in the binary image using the radius vector function. The imaginary line joining any two corners is called the baseline, if the distance between those two corners is the maximum. The image is rotated to align the baseline with the reference axis. Horizontal and vertical projections of the rotated image are drawn. The projections are matched with the projections of the database images using the sorted normalized matching algorithm. The algorithm is tested on various test images.