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A dewarping algorithm to compensate volume binding distortion in scanned documents

Published: 22 March 2010 Publication History

Abstract

This paper presents a new algorithm for dewarping the volume binding distortion often found whenever one scans a book. The existing algorithms in the literature need scanner parameters, seldom known by the end user. The algorithm proposed here only needs the user to print a calibration grid and to scan it in the central page of a volume. The algorithm collects all the data needed to dewarp all pages in the volume.

References

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C. L. Tan, L. Zhang, Z. Zhang, and T. Xia, Restoring Warped Document Images through 3D Shape Modeling, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 195--208, Feb. 2006.
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H. Ukida, Y. Tanimoto, T. Sano, H. Yamamoto, 3D Shape Reconstructions Using Image Scanner under Various Number of Illuminations. IEEE International Workshop on Imaging Systems and Techniques, 2007. IST '07. May 5, 2007, Krakow, Poland, 2007, pp. 1--6.
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J.-D. Durou, M. Falcone, M. Sagona. Numerical Methods for Shape-from-shading: A New Survey with Benchmarks. Computer Vision and Image Understanding, 2007.
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R. Szeliski. Computer Vision: Algorithms and Applications. Available at http://research.microsoft.com/en-us/um/people/szeliski/Book/. (to be published).
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D. M. Oliveira and R. D. Lins. A New Method for Shading Removal and Binarization of Documents Acquired with Portable Digital Cameras. Proceedings of International Workshop on Camera-Based Document Analysis and Recognition, 2009, Barcelona. pp. 3--10.
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S. S. Bukhari, F. Shafait, T. M. Breuel. Dewarping of Document Images using Coupled-Snakes. Proceedings of International Workshop on Camera-Based Document Analysis and Recognition, 2009, Barcelona. pp. 3--10.
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R. Pintus, T. Malzbender, O. Wang, R. Bergman, H. Nachlieli, and G. Ruckenstein. Photo Repair and 3D Structure from Flatbed Scanners. International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, pp. 40--50, 2009.
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R. Schubert. Using a Flatbed Scanner as a Stereoscopic Near-Field Camera, IEEE Computer Graphics and Applications, 2000, pp. 38--45.
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W. Burger and M. J. Burge. Digital Image Processing: An Algorithmic Introduction using Java. ISBN: 978-1-84628-379-6. Springer, New York, 2008.
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J. Fan. Robust Color Image Enhancement of Digitized Books, Proceedings of International Conference on Document Analysis and Recognition, pp 561--565, IEEE Press, 2009.
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G. F. P. Silva, R. D. Lins. PhotoDoc: A Toolbox for Processing Document Images Acquired Using Portable Digital Cameras. Proceedings of International Workshop on Camera-Based Document Analysis and Recognition, 2007, Curitiba. pp. 107--115.

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  • (2010)Correcting book binding distortion in scanned documentsProceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II10.1007/978-3-642-13775-4_36(355-365)Online publication date: 21-Jun-2010

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  1. A dewarping algorithm to compensate volume binding distortion in scanned documents

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    cover image ACM Conferences
    SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
    March 2010
    2712 pages
    ISBN:9781605586397
    DOI:10.1145/1774088
    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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    New York, NY, United States

    Publication History

    Published: 22 March 2010

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    Author Tags

    1. dewarping
    2. document processing
    3. image processing
    4. scanners

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    SAC'10: The 2010 ACM Symposium on Applied Computing
    March 22 - 26, 2010
    Sierre, Switzerland

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    SAC '10 Paper Acceptance Rate 364 of 1,353 submissions, 27%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    • (2010)Correcting book binding distortion in scanned documentsProceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II10.1007/978-3-642-13775-4_36(355-365)Online publication date: 21-Jun-2010

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