DocumentCode
3141043
Title
Models and algorithms for duplicate document detection
Author
Lopresti, Daniel P.
Author_Institution
Lucent Technol. Inc., AT&T Bell Labs., Murray Hill, NJ, USA
fYear
1999
fDate
20-22 Sep 1999
Firstpage
297
Lastpage
300
Abstract
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
Keywords
string matching; visual databases; approximate string matching; document image databases; duplicate document detection; real-world degradation effects; Data mining; Electrical capacitance tomography; Feature extraction; Image databases; Information management; Microwave integrated circuits; Optical character recognition software; Packaging; Spatial databases; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location
Bangalore
Print_ISBN
0-7695-0318-7
Type
conf
DOI
10.1109/ICDAR.1999.791783
Filename
791783
Link To Document