Error-correcting form class matching for form reading system
Xingyuan Li, Jiarong Hong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
In this paper, we describe a method to train and classify form class. We consider the form shape as a special graph, and propose a representation of a form class and an efficient matching algorithm. The matching algorithm is simple and can find the optimal map. When the form class is trained, our approach can correct some errors in the input form; thus a high tolerance of noise on the image is obtained.