Text segmentation for automatic document processing

Dinesh P. Mital; Wee Leng Goh

doi:10.1117/12.335819

7 January 1999 Text segmentation for automatic document processing

Dinesh P. Mital, Wee Leng Goh

Proceedings Volume 3651, Document Recognition and Retrieval VI; (1999) https://doi.org/10.1117/12.335819
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Dinesh P. Mital and Wee Leng Goh "Text segmentation for automatic document processing", Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); https://doi.org/10.1117/12.335819

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