DocumentCode :
3331438
Title :
A system for data extraction from forms of known class
Author :
Cesarini, F. ; Gori, M. ; Marinai, S. ; Soda, G.
Author_Institution :
Dept. of Syst. & Inf., Florence Univ., Italy
Volume :
2
fYear :
1995
fDate :
14-16 Aug 1995
Firstpage :
1136
Abstract :
In this paper, we describe a flexible and efficient system for processing forms of a known class. The model is based on attributed relational graphs and the system performs form registration and location of information fields using algorithms based on the hypothesize-and-verify paradigm. A special emphasis has been placed at the low level, where an autoassociator-based connectionist model has exhibited successful results in finding the instruction fields in very noisy forms
Keywords :
image segmentation; pattern recognition; relational databases; attributed relational graphs; autoassociator-based connectionist model; data extraction; forms processing; hypothesize-and-verify paradigm; information fields; instruction fields; noisy forms; Data mining; Image processing; Information analysis; Noise level; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
Type :
conf
DOI :
10.1109/ICDAR.1995.602120
Filename :
602120
Link To Document :
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