One-shot field spotting on colored forms using subgraph isomorphism

This paper presents an approach for spotting textual fields in commercial and administrative colored forms. We proceed by locating these fields thanks to their neighboring context which is modeled with a structural representation. First, informative zones are extracted. Second, forms are represented by graphs. In these graphs, nodes represent colored rectangular shapes while edges represent neighboring relations. Finally, the neighboring context of the queried region of interest is modeled as a graph. Subgraph isomorphism is applied in order to locate this ROI in the structural representation of a whole document. Evaluated on a 130-document image dataset, experimental results show up that our approach is efficient and that the requested information is found even if its position is changed.