A general framework for multicharacter segmentation and its application in recognizing multilingual Asian documents

Di Wen; Xiaoqing Ding

doi:10.1117/12.528951

15 December 2003 A general framework for multicharacter segmentation and its application in recognizing multilingual Asian documents

Di Wen, Xiaoqing Ding

Author Affiliations +

Proceedings Volume 5296, Document Recognition and Retrieval XI; (2003) https://doi.org/10.1117/12.528951
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

In this paper we propose a general framework for character segmentation in complex multilingual documents, which is an endeavor to combine the traditionally separated segmentation and recognition processes into a cooperative system. The framework contains three basic steps: Dissection, Local Optimization and Global Optimization, which are designed to fuse various properties of the segmentation hypotheses hierarchically into a composite evaluation to decide the final recognition results. Experimental results show that this framework is general enough to be applied in variety of documents. A sample system based on this framework to recognize Chinese, Japanese and Korean documents and experimental performance is reported finally.

Citation Download Citation

Di Wen and Xiaoqing Ding "A general framework for multicharacter segmentation and its application in recognizing multilingual Asian documents", Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); https://doi.org/10.1117/12.528951

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