Document Analysis Research in the Year 2021
Identifieur interne : 002714 ( Main/Exploration ); précédent : 002713; suivant : 002715Document Analysis Research in the Year 2021
Auteurs : Daniel Lopresti [États-Unis] ; Bart Lamiroy [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
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.
Url:
DOI: 10.1007/978-3-642-21822-4_27
Affiliations:
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<front><div type="abstract" xml:lang="en">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.</div>
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