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.
|Publication status||Published - 29 Aug 2005|
|Event||IEEE International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of|
Duration: 29 Aug 2005 → 1 Sep 2005
|Conference||IEEE International Conference on Document Analysis and Recognition|
|Country||Korea, Republic of|
|Period||29/08/05 → 1/09/05|
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