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Title:
Low Quality Mobile Image Data Processing Under Uneven Shading------ Separating and Cleaning Text Lines and Graphic Regions in mobile Color Document Image
Author:
Xiaohua Zhang: Hiroshima Institute of Technology, Hiroshima, Japan
Ning Xie: Tongji University, Shanghai, China
Masayuki Nakajima: Kanagawa Insitute of Technology, Atsuki, Japan / Uppsala University, Visby, Gotland, Sweden
Masaki Hayashi: Uppsala University, Visby, Gotland, Sweden
Steven Bachelder: Uppsala University, Visby, Gotland, Sweden
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Year:
2016
Conference:
Proceedings of SIGRAD 2016, May 23rd and 24th, Visby, Sweden
Issue:
127
Article no.:
011
Pages:
55-56
No. of pages:
2
Publication type:
Abstract and Fulltext
Published:
2016-05-30
ISBN:
978-91-7685-731-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet
A clean document image is necessary for many tasks such as page layout analysis, OCR system and so on. In case of poor document image, these tasks may not be finished with satisfaction. This paper proposes a simple
approach for extracting text lines and segmenting image regions from a textual and non-textual regions mixed color document image with uneven shading. The algorithm removes the uneven shading first and then computes
Canny edges. By analyzing connected components heuristically, the text regions and image regions contained in the given document image are extracted and segmented. Finally a clean document image is obtained using a trivial
synthesis method. Our experimental results demonstrate that the proposed approach performs plausible.
Keywords: MAGE PROCESSING AND COMPUTER VISION Scene Analysis Shading
Keywords: MAGE PROCESSING AND COMPUTER VISION Scene Analysis Shading
Proceedings of SIGRAD 2016, May 23rd and 24th, Visby, Sweden
Author:
Xiaohua Zhang, Ning Xie, Masayuki Nakajima, Masaki Hayashi, Steven Bachelder
Title:
Low Quality Mobile Image Data Processing Under Uneven Shading------ Separating and Cleaning Text Lines and Graphic Regions in mobile Color Document Image
References:
[LM71] LAND E., MCCANN J.: Lightness and retinex theory,. Journal of the Optical Society of America 61 (1971), 1–11. 1
[SP00] SAUVOLA J., PIETIKAINEN M.: Adaptive document image binarization. Pattern Recognition 33, 2 (Feb. 2000), 225–236. 2
[ZENM13] ZIRARI F., ENNAJI A., NICOLAS S., MAMMASS D.: A document image segmentation system using analysis of connected components. In Proc. of 12th ICDAR (2013). 1
[ZXHX16] ZHANG X., XIE N., HUANG H., XIN Y.: Fast restoration of text strokes from a document image with uneven shading. In Proc. of 19th IWAIT (2016). 1
Proceedings of SIGRAD 2016, May 23rd and 24th, Visby, Sweden
Author:
Xiaohua Zhang, Ning Xie, Masayuki Nakajima, Masaki Hayashi, Steven Bachelder
Title:
Low Quality Mobile Image Data Processing Under Uneven Shading------ Separating and Cleaning Text Lines and Graphic Regions in mobile Color Document Image
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