IEICE TRANSACTIONS on Fundamentals
Text-Color-Independent Binarization for Degraded Document Image Based on MAP-MRF Approach
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.11 pp.2342-2349
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E94.A.2342
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Image Processing
Authors
Keyword
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Hideaki ORII, Hideaki KAWANO, Hiroshi MAEDA, Norikazu IKOMA, "Text-Color-Independent Binarization for Degraded Document Image Based on MAP-MRF Approach" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 11, pp. 2342-2349, November 2011, doi: 10.1587/transfun.E94.A.2342.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.2342/_p
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@ARTICLE{e94-a_11_2342,
author={Hideaki ORII, Hideaki KAWANO, Hiroshi MAEDA, Norikazu IKOMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Text-Color-Independent Binarization for Degraded Document Image Based on MAP-MRF Approach},
year={2011},
volume={E94-A},
number={11},
pages={2342-2349},
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.},
keywords={},
doi={10.1587/transfun.E94.A.2342},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Text-Color-Independent Binarization for Degraded Document Image Based on MAP-MRF Approach
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2342
EP - 2349
AU - Hideaki ORII
AU - Hideaki KAWANO
AU - Hiroshi MAEDA
AU - Norikazu IKOMA
PY - 2011
DO - 10.1587/transfun.E94.A.2342
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2011
AB - 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.
ER -
English
