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Reconnaissance et classification d’images de documents

Abstract : The aim of this research is to contribute to the document image classification problem. More specifically, these studies address digitizing company issues which objective is to provide the digital version of paper document with information relating to them. Given the diversity of documents, information extraction can be complex. This is why the classification and the indexing of documents are often performed manually. This research provides several solutions based on knowledge of the images that the user has. The first contribution of this thesis is a method for classifying interactively document images, where the content of documents and classes are unknown. The second contribution of this work is a new technique for document image retrieval by giving one example of researched document. This technique is based on the extraction and matching of interest points. The last contribution of this thesis is a method for classifying document images by using bags of visual words techniques.
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Submitted on : Monday, May 13, 2013 - 1:57:11 PM
Last modification on : Saturday, June 25, 2022 - 10:33:38 AM
Long-term archiving on: : Monday, August 19, 2013 - 3:46:54 PM


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  • HAL Id : tel-00821889, version 1



Olivier Augereau. Reconnaissance et classification d’images de documents. Autre [cs.OH]. Université Sciences et Technologies - Bordeaux I, 2013. Français. ⟨NNT : 2013BOR14764⟩. ⟨tel-00821889⟩



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