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Conference Paper Cursive Text Line Extraction from the Destination Address Area on Mail Image
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Authors
Seon Hwa Jeong, Ho Yon Kim
Issue Date
2005-06
Citation
International Conference on Imaging Science, Systems, and Technology: Computer Graphics (CISST) 2005, pp.79-85
Language
English
Type
Conference Paper
Abstract
This paper describes a method of separating text lines from cursive Korean address images based on X-Y cut of input image and grouping and splitting of the X-Y cut resulted images. The method is robust to address images which normally appear in the application field. In other words, it can deal with undulated, skewed, vertically contacted or vertically overlapped text lines under a stabilized performance. The experiment done with address images extracted from Korean live mails has demonstrated the superiority of the proposed method. The success rate for the 989 testing images was about 93.1%.
KSP Keywords
Success rate, Text Line Extraction, X-Y cut