Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information

This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several state- of-the-art binarization methodologies as well as on the efficient incorporation of the edge information of the gray scale source image. An enhancement...

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Bibliographic Details
Published in2008 19th International Conference on Pattern Recognition pp. 1 - 4
Main Authors Gatos, B., Pratikakis, I., Perantonis, S.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Character recognition
Computational intelligence
Degradation
Gold
Image recognition
Image segmentation
Informatics
Laboratories
Morphology
Wiener filter
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Summary:This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several state- of-the-art binarization methodologies as well as on the efficient incorporation of the edge information of the gray scale source image. An enhancement step based on mathematical morphology operations is also involved in order to produce a high quality result while preserving stroke information. The proposed method demonstrated superior performance against six (6) well-known techniques on numerous degraded handwritten and machine- printed documents. The performance evaluation is based on visual criteria as well as on an objective evaluation methodology.
ISBN:9781424421749
1424421748
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2008.4761534