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Automated entry system for Chinese printed documents |
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| Authors: | Bor-Shenn Jeng Tung-Ming Shieh Char-Shin Miou Chun-Jen Lee Bing-Shan Chien Yu-Hen Hu Gan-How Chang |
| Affiliation: | a Telecommunication Laboratories, Ministry of Transportation and Communications, 12 Lane 551, Min-Tsu Road, Yang Mei, Taoyuan, Taiwan 326, ROC b Institute of Optical Science, National Central University, ROC c Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA |
| Abstract: | In this paper, we present a new automated Chinese printed document entry system. This system features automated text/ graph segmentation, and multi-font, multi-size printed Chinese character recognition. Experimental results show that 95.8–99.4% of the top 10 printed characters can be correctly recognized, with the speed of 0.16 seconds/character. |
| Keywords: | document entry system optical character recognition (OCR) document analysis feature extraction segmentation |
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