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http://dx.doi.org/10.3745/KIPSTB.2010.17B.2.125

Research and Development of Document Recognition System for Utilizing Image Data  

Kwag, Hee-Kue ((주)인지소프트)
Publication Information
The KIPS Transactions:PartB / v.17B, no.2, 2010 , pp. 125-138 More about this Journal
Abstract
The purpose of this research is to enhance document recognition system which is essential for developing full-text retrieval system of the document image data stored in the digital library of a public institution. To achieve this purpose, the main tasks of this research are: 1) analyzing the document image data and then developing its image preprocessing technology and document structure analysis one, 2) building its specialized knowledge base consisting of document layout and property, character model and word dictionary, respectively. In addition, developing the management tool of this knowledge base, the document recognition system is able to handle the various types of the document image data. Currently, we developed the prototype system of document recognition which is combined with the specialized knowledge base and the library of document structure analysis, respectively, adapted for the document image data housed in National Archives of Korea. With the results of this research, we plan to build up the test-bed and estimate the performance of document recognition system to maximize the utilization of full-text retrieval system.
Keywords
Full Text Retrieval; Document Recognition; Document Structure Analysis; Knowledge Base; Image Layout & Property; Character Model; Word Dictionary;
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Times Cited By KSCI : 2  (Citation Analysis)
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