Iterative Analysis of Pages in Document Collections for Efficient User Interaction

Abstract : The analysis of sets of degraded documents, like historical ones, is error-prone and requires human help to achieve acceptable quality levels. However, human interaction raises 3 main issues when processing important amounts of pages: none of the user or the system should wait for work; information provided by a human operator should not be restricted to local isolated corrections, but rather produce durable changes in the system; the ability to interact with a human operator should not increase the complexity of document models nor duplicate them between analysis and human interaction processes. To solve those issues, we propose an iterative approach, based on a special mechanism called visual memory, to reintegrate external information during page analysis. So as to demonstrate the interest for existing systems, we explain how we adapted a (rule-based) page analysis tool to enable, in this iterative approach, a delayed interaction with a human operator based on an adaptation of error recovery principles for compilers and the well-known exception handling mechanism. We validated our iterative approach on sales registers from the 18th century.
Type de document :
Communication dans un congrès
Document Analysis and Recognition (ICDAR), 2011 International Conference on, Sep 2011, China. pp.503 -507, 2011, 〈10.1109/ICDAR.2011.107〉
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https://hal.archives-ouvertes.fr/hal-00644927
Contributeur : Joseph Chazalon <>
Soumis le : vendredi 25 novembre 2011 - 15:21:00
Dernière modification le : jeudi 15 novembre 2018 - 11:57:51
Document(s) archivé(s) le : dimanche 26 février 2012 - 02:31:38

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Joseph Chazalon, Bertrand Coüasnon, Aurélie Lemaitre. Iterative Analysis of Pages in Document Collections for Efficient User Interaction. Document Analysis and Recognition (ICDAR), 2011 International Conference on, Sep 2011, China. pp.503 -507, 2011, 〈10.1109/ICDAR.2011.107〉. 〈hal-00644927〉

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