Color and Layout-based Identification of Documents Captured from Handheld Devices
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Color and Layout-based Identification of Documents Captured from Handheld Devices

Authors: Ardhendu Behera, Denis Lalanne, Rolf Ingold

Abstract:

This paper proposes a method, combining color and layout features, for identifying documents captured from low-resolution handheld devices. On one hand, the document image color density surface is estimated and represented with an equivalent ellipse and on the other hand, the document shallow layout structure is computed and hierarchically represented. Our identification method first uses the color information in the documents in order to focus the search space on documents having a similar color distribution, and finally selects the document having the most similar layout structure in the remaining of the search space.

Keywords: Document color modeling, document visualsignature, kernel density estimation, document identification.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328770

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References:


[1] A. Behera, D. Lalanne and R. Ingold "Visual Signature based Identification of Low-resolution Document Images," ACM Symposium on Document Engineering, Milwaukee, Wisconsin, 2004, pp. 178-187.
[2] D. Lalanne et al, ÔÇÿÔÇÿUsing static documents as structured and thematic interfaces to multimedia meeting archives", 1st Intl. Workshop on MLMI, 2004, Martigny, Switzerland, LNCS, vol. 3361, pp. 87-100.
[3] P. Aigrain, H. Zhang, and D. Petkovic, "Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review," Multimedia Tools and Applications, 1996, No. 3, pp. 179-202.
[4] M. Petkovic', "Content-based video retrieval", 7th International Conference on Extending Database Technology, March 27-31, 2000, Konstanz, Germany, pp 74-77.
[5] Swain and D. Ballard, ÔÇÿÔÇÿColor Indexing--, Intl. Journal of Computer Vision, 1991, vol. 7, no. 1, pp. 11-32
[6] D. Zhang, G. Lu, "Evaluation of Similarity measurement for image retrieval", IEEE Intl. Conf. on NNSP, 2003, Nanjing, China.
[7] D. W. Scott, Multivariate Density Estimation. New York: John Wiley, 1992.
[8] B. W. Silverman, Density Estimation for Statistic and Data Analysis. New York: Chapman and Hall, 1986.
[9] M. J. Jones and J. M. Rehag, "Statistical Color models with Application to Skin Detection,-- Intl. Journal of Computer Vision, 2002, vol. 46, no. 1, pp. 81-96.