문자패턴에서의 밀도정보를 이용한 이진영상 매핑

The Bi-level Image Mapping Using Density Information in Character Patterns

This paper describes a normalization of character which is contained in the character recognition process. Line and dot density is computed on input character image and then image mapping is executed into destination. Also recognition is processed using overlap-partitioning of character image and extraction of 4 directional feature primitives. The validity of proposed nonlinear normalization algorithm could be verified by increment of recognition rate.