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Proceedings Paper

Advanced topics in character recongition and document analysis: research works in intelligent image and document research lab, Tsinghua University
Author(s): Xiaoqing Ding
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Paper Abstract

Character Recognition and Document Retrieval still are very interesting research area although great progress in performance has been made over the last decades. Advanced research topics in character recognition and Document analysis are introduced in this paper, which include the further research in Tsinghai University on handwritten Chinese character recognition, multilingual character recognition and writer identification. In handwritten Chinese character recognition a special cascade MQDF classifier is discussed for unconstrained cursive handwritten Chinese Character recognition and an optimum handwritten strip recognition algorithm is introduced. In writer identification content dependent and content independent algorithms are discussed. In multilingual character recognition a THOCR multilingual, including Japanese, Korean, Tibetan, Mongolian, Uyghur, Arabic document recognition system is introduced in this paper.

Paper Details

Date Published: 19 January 2009
PDF: 10 pages
Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470D (19 January 2009); doi: 10.1117/12.816925
Show Author Affiliations
Xiaoqing Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 7247:
Document Recognition and Retrieval XVI
Kathrin Berkner; Laurence Likforman-Sulem, Editor(s)

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