Textual Information Localization and Retrieval in Document Images Based on Quadtree Decomposition

Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Textual information extraction is a challenging issue in Information Retrieval. Two main approaches are commonly distinguished: texture-based and region-based. In this paper, we propose a method guided by the quadtree decomposition. The principle of the method is to recursively decompose regions of a document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used for retrieving a given textual information from the obtained regions. Experiments on real invoice data provide promising results.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.EA2525-LIMUniversity of Reunion IslandSaint DenisFrance

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