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

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.

[1]  Bernard W. Silverman,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[2]  Milan Petkovic,et al.  Content-Based Video Retrieval , 2004, The Springer International Series in Engineering and Computer Science.

[3]  Venansius Baryamureeba,et al.  PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 8 , 2005 .

[4]  Dragutin Petkovic,et al.  Content-based representation and retrieval of visual media: A state-of-the-art review , 1996, Multimedia Tools and Applications.

[5]  Denis Lalanne,et al.  Visual signature based identification of Low-resolution document images , 2004, DocEng '04.

[6]  James M. Rehg,et al.  Statistical Color Models with Application to Skin Detection , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[7]  J. Simonoff Multivariate Density Estimation , 1996 .

[8]  Guojun Lu,et al.  Evaluation of similarity measurement for image retrieval , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

[9]  Andrei Popescu-Belis,et al.  Using Static Documents as Structured and Thematic Interfaces to Multimedia Meeting Archives , 2004, MLMI.

[10]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.