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- W2100798736 abstract "In this demonstration, we will show our Optical Character Recognition(OCR) technique. Character deformation and touching problems often occur during high-speed printing process in the machine vision industry. As a result, it is difficult for OCR system to segment and recognize characters properly. To solve these problems, we propose a novel OCR technique which is robust against deformation and touching. It splits regions of characters simply and excessively, recognizes all segments and merged regions, and obtains optimal segments using graph theory." @default.
- W2100798736 created "2016-06-24" @default.
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- W2100798736 date "2013-11-01" @default.
- W2100798736 modified "2023-09-24" @default.
- W2100798736 title "Deformed and Touched Characters Recognition" @default.
- W2100798736 cites W1488125194 @default.
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- W2100798736 doi "https://doi.org/10.1109/acpr.2013.193" @default.
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