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Proceedings Paper

Character string extraction from newspaper headlines with a background design by recognizing a combination of connected components
Author(s): Hiroaki Takebe; Yutaka Katsuyama; Satoshi Naoi
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Paper Abstract

In this paper we propose a new method of extracting a character string from images with a background design. In Japanese newspaper headlines, it is common for character components to be placed independent of background components. In view of this, we represent a character string candidate as a consistent combination of connected components, and we calculate its character string resemblance value. In this case, a character string resemblance value of a combination of connected components depends upon its character recognition result and the area of the rectangular area occupied by it. We then extract the combination of connected components that has the maximum character string resemblance value. We applied this method to 142 headline images. The results show that the method accurately extracted a character string from various kinds of images with a background design and the method has a favorable processing speed.

Paper Details

Date Published: 7 January 1999
PDF: 8 pages
Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); doi: 10.1117/12.335818
Show Author Affiliations
Hiroaki Takebe, Fujitsu Labs. Ltd. (Japan)
Yutaka Katsuyama, Fujitsu Labs. Ltd. (Japan)
Satoshi Naoi, Fujitsu Labs. Ltd. (Japan)


Published in SPIE Proceedings Vol. 3651:
Document Recognition and Retrieval VI
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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