Enhancement of layout-based identification of low-resolution documents using geometrical color distribution

Ardhendu Behera, Denis Lalanne, Rolf Ingold

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

This paper proposes a multi-signature document identification method that works robustly with low-resolution documents captured from handheld devices. The proposed method is based on the extraction of a visual signature containing both (a) the color content distribution in the image plane of the document, i.e. the color signature, and (b) the shallow layout structure of the document, i.e. the layout signature. The color distribution is first considered, in order to filter documents with very dissimilar colors, and the identification is finally done on the remaining set using the layout signature. An evaluation, that compares our color and layout-based method with the layout signature alone, is finally presented.
Original languageEnglish
Pages468-472
DOIs
Publication statusPublished - 29 Aug 2005
EventIEEE International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: 29 Aug 20051 Sep 2005

Conference

ConferenceIEEE International Conference on Document Analysis and Recognition
CountryKorea, Republic of
CitySeoul
Period29/08/051/09/05

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    Behera, A., Lalanne, D., & Ingold, R. (2005). Enhancement of layout-based identification of low-resolution documents using geometrical color distribution. 468-472. Paper presented at IEEE International Conference on Document Analysis and Recognition, Seoul, Korea, Republic of. https://doi.org/10.1109/ICDAR.2005.104