Models and algorithms for duplicate document detection

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 1999, Pages 297-300

  Lopresti, Daniel P ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE STRING MATCHING; DEGRADATION EFFECT; DUPLICATE DOCUMENT DETECTION; MODELS AND ALGORITHMS; REAL-WORLD;

EID: 0041757621     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1999.791783     Document Type: Conference Paper

References (5)

1. D. Doermann, H. Li, and O. Kia. The detection of duplicates in document image databases. In Proceedings of the International Conference on Document Analysis and Recognition, pages 314-318, Ulm, Germany, Aug. 1997.
2. J. J. Hull, J. Cullen, and M. Peairs. Document image matching and retrieval techniques. In Proceedings of the Symposium on Document Image Understanding Technology, pages 31-35, Annapolis, MD, Apr. 1997.
3. D. Lopresti. String techniques for duplicate document detection. In Proceedings of the Symposium on Document Image Understanding Technology, pages 101-112, Annapolis, MD, Apr. 1999.
4. A. L. Spitz. Duplicate document detection. In Proceedings of Document Recognition IV (IS&T/SPIE Electronic Imaging), pages 88-94, San Jose, CA, Feb. 1997.
5. R. A. Wagner and M. J. Fischer. The string-to-string correction problem. Journal of the Association for Computing Machinery, 21:168-173, 1974.