Paper
19 January 2009 Comparison of Niblack inspired binarization methods for ancient documents
Khurram Khurshid, Imran Siddiqi, Claudie Faure, Nicole Vincent
Author Affiliations +
Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470U (2009) https://doi.org/10.1117/12.805827
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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 Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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 (19 January 2009); https://doi.org/10.1117/12.805827
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Cited by 160 scholarly publications.
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KEYWORDS
Optical character recognition

Binary data

Image quality

Algorithm development

Visualization

Astatine

Detection and tracking algorithms

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