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Proceedings Paper

Statistical multi-resolution schemes for historical document binarization
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Paper Abstract

In previous work , we proposed the application of the Expectation-Maximization (EM) algorithm in the binarization of historical documents by defining a multi-resolution framework. In this work, we extend the multiresolution framework to the Otsu algorithm for effective binarization of historical documents. We compare the effectiveness of the EM based binarization technique to the Otsu thresholding algorithm on historical documents. We demonstrate how the EM can be extended to perform an effective segmentation of historical documents by taking into account multiple features beyond the intensity of the document image. Experimental results, analysis and comparisons to known techniques are presented using the document image collection from the DIBCO 2009 contest.

Paper Details

Date Published: 24 January 2011
PDF: 9 pages
Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740S (24 January 2011); doi: 10.1117/12.876582
Show Author Affiliations
Tayo Obafemi-Ajayi, Illinois Institute of Technology (United States)
Gady Agam, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7874:
Document Recognition and Retrieval XVIII
Gady Agam; Christian Viard-Gaudin, Editor(s)

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