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Influence of fusion strategies on feature-based identification of low-resolution documents

Published: 02 November 2005 Publication History

Abstract

The paper describes a method by which one could use the documents captured from low-resolution handheld devices to retrieve the originals of those documents from a document store. The method considers conjunctively two complementary feature sets. First, the geometrical distribution of the color in the document's 2D image plane is preferred. Secondly, the shallow layout features is considered due to the poor resolution of the captured documents. We propose in this article to fuse those two complementary feature sets in order to improve document identification performance. Finally, in order to test the influence of merging strategies on document identification performance, a synergic method is proposed and evaluated relative to a similar method in which feature sets are simply considered sequentially.

References

[1]
Behera A., Lalanne D., and Ingold R. Enhancement of Layout-based Identification of Low-resolution Documents using Geometrical Color Distribution, In Proc. 8th ICDAR, Seoul, Korea, Vol. 1, pp. 468--472, 2005.
[2]
Behera A., Lalanne D., and Ingold R. Visual Signature based Identification of Low-resolution Document Images, ACM Symposium on Document Engineering, Milwaukee, USA, October 28-30, pp. 178--187, 2004.
[3]
Cullen J., Hull J., and Hart P. Document image database retrieval and browsing using texture analysis, In Proc. 4th ICDAR, Ulm, Germany, pp. 718--721, 1997.
[4]
Erol B., and Hull J. Linking Presentation Documents Using Image Analysis, In Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 9--12, 2003.
[5]
Herrmann P., and Schlageter G. Retrieval of document images using layout knowledge, In Proc. 2nd ICDAR, Tsukuba City, Japan, pp. 537--540, 1993.
[6]
Marinai S., Marino E., and Soda G. Indexing and retrieval of words in old documents, In Proc. of 7th ICDAR, Edinburgh, Scotland, pp. 223--227, 2003.

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  1. Influence of fusion strategies on feature-based identification of low-resolution documents

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        cover image ACM Conferences
        DocEng '05: Proceedings of the 2005 ACM symposium on Document engineering
        November 2005
        252 pages
        ISBN:1595932402
        DOI:10.1145/1096601
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        New York, NY, United States

        Publication History

        Published: 02 November 2005

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        Author Tags

        1. document retrieval
        2. document signature
        3. geometrical color distribution
        4. shallow layout features

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        DocEng05
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        DocEng05: ACM Symposium on Document Engineering
        November 2 - 4, 2005
        Bristol, United Kingdom

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        Overall Acceptance Rate 194 of 564 submissions, 34%

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