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Proceedings Article

Comparison of Niblack inspired binarization methods for ancient documents

[+] Author Affiliations
Khurram Khurshid, Imran Siddiqi, Nicole Vincent

Univ. Paris Descartes (France)

Claudie Faure

CNRS, GET ENST (France)

Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470U (January 19, 2009); doi:10.1117/12.805827
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From Conference Volume 7247

  • Document Recognition and Retrieval XVI
  • Kathrin Berkner; Laurence Likforman-Sulem
  • San Jose, CA | January 18, 2009

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.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Topics

Algorithms
Citation

Khurram Khurshid ; Imran Siddiqi ; Claudie Faure and Nicole Vincent
"Comparison of Niblack inspired binarization methods for ancient documents", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470U (January 19, 2009); doi:10.1117/12.805827; http://dx.doi.org/10.1117/12.805827


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