Document Analysis Research in the Year 2021

Daniel Lopresti 1 Bart Lamiroy 2, 3
2 QGAR - Querying Graphics through Analysis and Recognition
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Despite tremendous advances in computer software and hardware, certain key aspects of experimental research in document analysis, and pattern recognition in general, have not changed much over the past 50 years. This paper describes a vision of the future where community-created and managed resources make possible fundamental changes in the way science is conducted in such fields. We also discuss current developments that are helping to lead us in this direction.
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Communication dans un congrès
Kishan G. Mehrotra and Chilukuri K. Mohan and Jae C. Oh and Pramod K. Varshney and Moonis Ali. Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2011, Jun 2011, Syracuse, NY, United States. Springer, 6703, pp.264-274, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-21822-4_27〉
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Daniel Lopresti, Bart Lamiroy. Document Analysis Research in the Year 2021. Kishan G. Mehrotra and Chilukuri K. Mohan and Jae C. Oh and Pramod K. Varshney and Moonis Ali. Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2011, Jun 2011, Syracuse, NY, United States. Springer, 6703, pp.264-274, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-21822-4_27〉. 〈inria-00570000〉

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