Fuzzy graph modeling for text segmentation from land map images
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Content directed enhancement of degraded document images
Proceeding of the workshop on Document Analysis and Recognition
Text graphic separation in Indian newspapers
Proceedings of the 4th International Workshop on Multilingual OCR
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Text, graphics and half-tones are the major constituents of any document page. While half-tone can be characterised by its inherent intensity variation, text and graphics share common characteristics except difference in spatial distri- bution. The success of document image analysis systems depends on the proper segmentation of text and graphics as text is further subdivided into other classes such as heading, table and math-zones. Segmentation of graphics is essential for better OCR performance and vectorization in computer vision applications. Graphics segmentation from text is par- ticularly difficult in the context of graphics made of small components (dashed or dotted lines etc.) which have many features similar to texts. Here we propose a robust tech- nique for segmenting all sorts of graphics and texts in any orientation from document pages.