short-paper

Enhancing Document-Camera Images

Authors:

Ednardo Mariano,

Rafael Dueire Lins,

Jian FanAuthors Info & Claims

DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019

Article No.: 39, Pages 1 - 4

https://doi.org/10.1145/3342558.3345422

Published: 23 September 2019 Publication History

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Abstract

Document Camera digitalization devices are low-cost, easy to use, produce good quality images, are able to digitalize pages of bound books without damaging their spine, etc. On the other hand, they may bring two serious problems. The first one appears if the document to be digitalized is printed on glossy paper. The paper reflects the different illumination sources from the environment producing a specular noise in the document image. The second problem occurs when the document to be digitalized does not lay flat on the digitalization surface. This paper presents solutions to both problems. The results obtained in almost 400 test images may be considered satisfactory.

References

[1]

Best Reviews. Best Document Cameras. Visited 13 July 2019. http://bestreviews.com/best-document-cameras

Google Scholar

[2]

J. Liang, D. DeMenthon, and D. Doermann. Geometric Rectification of Camera-Captured Document Images. IEEE Trans. Pattern Analysis and Mach. Intelligence. V30(4):591--605.

Google Scholar

[3]

E.Mariano, R.D. Lins, G. Silva, J. Fan, P.Majewicz, M.Thielo. Correcting Specular Noise in Multiple Images of Photographed Documents. ICDAR'11, p. 111--116, 2011, IEEE Press.

Google Scholar

[4]

R.D.Lins et al. Removing Shade and Specular Noise in Images of Objects and Documents Acquired with a 3D-Scanner. ICIAR'13. Springer Verlag. pp. 120--128, 2013.

Google Scholar

[5]

J. Liang, D. Doermann and H. Li. Camera-Based Analysis of Text and Documents: A Survey. International Journal on Document Analysis and Recognition, 2005.

Google Scholar

[6]

G. V. Landon, Y. Lin, and W. B. Seales. Towards Automatic Photometric Correction of Casually Illuminated Documents., IEEE C. Vision and Pattern Recognition, 2007.

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Index Terms

Enhancing Document-Camera Images
1. Applied computing
  1. Computers in other domains

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Published In

DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019

September 2019

254 pages

ISBN:9781450368872

DOI:10.1145/3342558

General Chairs:
Uwe Borghoff,
Sonja Schimmler

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGDOC: ACM Special Interest Group for Design of Communications

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 September 2019

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DocEng '19

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DocEng '19: ACM Symposium on Document Engineering 2019

September 23 - 26, 2019

Berlin, Germany

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DocEng '19 Paper Acceptance Rate 30 of 77 submissions, 39%;

Overall Acceptance Rate 194 of 564 submissions, 34%

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Abstract

References

Index Terms

Recommendations

Enhancing document images acquired using portable digital cameras

Ridges Based Curled Textline Region Detection from Grayscale Camera-Captured Document Images

Textline information extraction from grayscale camera-captured document images

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