Text-Color-Independent Binarization for Degraded Document Image Based on MAP-MRF Approach
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- ORII Hideaki
- Graduate School of Engineering, Kyushu Institute of Technology
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- KAWANO Hideaki
- Faculty of Engineering, Kyushu Institute of Technology
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- MAEDA Hiroshi
- Faculty of Engineering, Kyushu Institute of Technology
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- IKOMA Norikazu
- Faculty of Engineering, Kyushu Institute of Technology
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Abstract
We propose a novel background and foreground estimation algorithm in MAP-MRF approach for binarization of degraded document image. In the proposed algorithm, an assumption that background whiteness and foreground blackness is not employed differently from the conventional algorithm, and we employ character's irregularities based on local statistics. This makes the method possible to apply to the image with various colored characters, ex. outlined characters by colored background. The effectiveness and the validity are shown by applying the proposed method to various degraded document images.
Journal
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94-A (11), 2342-2349, 2011
The Institute of Electronics, Information and Communication Engineers
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Details
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- CRID
- 1390282681288723712
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- NII Article ID
- 10030191989
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- NII Book ID
- AA10826239
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- ISSN
- 17451337
- 09168508
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed