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Proceedings Paper

Comparison of Niblack inspired binarization methods for ancient documents
Author(s): Khurram Khurshid; Imran Siddiqi; Claudie Faure; Nicole Vincent
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Paper Abstract

In this paper, we present a new sliding window based local thresholding technique 'NICK' and give a detailed comparison of some existing sliding-window based thresholding algorithms with our method. The proposed method aims at achieving better binarization results, specifically, for ancient document images. NICK has been inspired from the Niblack's binarization method and exhibits its robustness and effectiveness when evaluated on low quality ancient document images.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470U (19 January 2009); doi: 10.1117/12.805827
Show Author Affiliations
Khurram Khurshid, Univ. Paris Descartes (France)
Imran Siddiqi, Univ. Paris Descartes (France)
Claudie Faure, CNRS, GET ENST (France)
Nicole Vincent, Univ. Paris Descartes (France)

Published in SPIE Proceedings Vol. 7247:
Document Recognition and Retrieval XVI
Kathrin Berkner; Laurence Likforman-Sulem, Editor(s)

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