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Proceedings Paper

Multithresholding for document image segmentation
Author(s): Shriram V. Revankar
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Paper Abstract

Document images contain information in several dominant intensity levels. Detecting these dominant levels helps segmenting the regions in the image that need to be processed differently, if subsequently the image was to be recognized or printed. In this paper we propose a multithresholding algorithm to segment different dominant intensity levels in a document image based on intensity histogram and intensity transition histograms of the image. The method involves determining the number of dominant intensity levels in the image and computing the necessary number of thresholds that facilitate the segmentation.

Paper Details

Date Published: 30 March 1995
PDF: 11 pages
Proc. SPIE 2422, Document Recognition II, (30 March 1995); doi: 10.1117/12.205817
Show Author Affiliations
Shriram V. Revankar, Xerox Webster Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2422:
Document Recognition II
Luc M. Vincent; Henry S. Baird, Editor(s)

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