Identification of Font Styles and Typefaces in Printed Korean Documents

机译：韩国印刷文件中字体样式和字体的识别

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摘要

This paper proposes a system for the extraction of typographical attributes, such as font style and typeface, that can be used to improve the performance of OCR and keyword spotting technologies on printed Korean document images. Three typographical features have been devised and experimented with 7,200 Korean word images. The individual accuracies for font style identification and typeface identification are 97.2% and 99.1%, respectively.

机译：本文提出了一种用于提取印刷属性（如字体样式和字样）的系统，该系统可用于提高在印刷的韩国文档图像上的OCR和关键字点技术的性能。已设计出三种印刷功能，并尝试了7,200个韩语文字图像。字体样式识别和字体识别的准确性分别为97.2％和99.1％。

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来源
《6th International Conference on Asian Digital Libraries, ICADL 2003; Dec 8-12, 2003; Kuala Lumpur, Malaysia》|2003年|p.666-669|共4页
会议地点 Kuala Lumpur(MY);Kuala Lumpur(MY)
作者
C.B. Jeong; H.K. Kwag; S.H. Kim; J.S. Kim; S.C. Park;
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Department of Computer Science, Chonnam National University, 300 YongBong-dong, BukGu, Gwangju 500-757, Korea;

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原文格式 PDF
正文语种 eng
中图分类信息与知识传播;
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Identification of Font Styles and Typefaces in Printed Korean Documents

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