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9

ICDAR
1999
IEEE

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Models and Algorithms for Duplicate Document Detection

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Models and Algorithms for Duplicate Document Detection

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This paper introduces a framework for clarifying and formalizing the duplicate document detection problem. Four distinct models are presented, each with a corresponding algorithm for its solution derived from the realm of approximate string matching. The robustness of these techniques is demonstrated through a set of experiments using data reflecting real-world degradation effects.

Daniel P. Lopresti

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Approximate String Matching | Document Analysis | Duplicate Document Detection | ICDAR 1999 | Real-world Degradation Effects |

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Added	03 Aug 2010
Updated	03 Aug 2010
Type	Conference
Year	1999
Where	ICDAR
Authors	Daniel P. Lopresti

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