DocumentCode :
2772564
Title :
Extraction of handwritten information in geometrically distorted documents
Author :
Safari, R. ; Narasimhamurthi, N. ; Shridhar, M. ; Ahmadi, M.
Author_Institution :
Windsor Univ., Ont., Canada
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1298
Abstract :
In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that is required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and keypoints between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from geometric hashing voting scheme
Keywords :
computational geometry; document image processing; optical character recognition; distortion parameter extraction; geometric hashing voting scheme; geometrically distorted documents; handwritten information extraction; Data mining; Geometry; Least squares methods; Testing; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711939
Filename :
711939
Link To Document :
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