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Proceedings Paper

Text segmentation for automatic document processing
Author(s): Dinesh P. Mital; Wee Leng Goh
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Paper Abstract

There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.

Paper Details

Date Published: 7 January 1999
PDF: 11 pages
Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); doi: 10.1117/12.335819
Show Author Affiliations
Dinesh P. Mital, Nanyang Technological Univ. (Singapore)
Wee Leng Goh, Nanyang Technological Univ. (Singapore)


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

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