An Approach to Segmentation of Address Strings of unconstrained handwritten Hangul using Run-Length Code
Gyeonghwan Kim, Jason-J Yoon · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2001
While recognition of isolated units of writing, such as a character or a word, has been extensively studied, emphasis on the segmentation itself has been lacking. In this paper we propose an active segmentation method for handwritten Hangul address strings based on the Run-length code. A slant correction algorithm, which is considered as an important preprocessing step for the segmentation, is presented. Three fundamental candidate estimation functions are introduced to detect the clues on touching points, and the classification of touching types is attempted depending on the structural peculiarity of Hangul. Our experiments show segmentation performance of 88.2% on touching characters with minimal over-segmentation.