DocumentCode :
419524
Title :
Neural network-based proper names extraction in fax images
Author :
Azzabou, Noura ; Likforman-Sulem, Laurence
Author_Institution :
Ecole Nat. Superieure des Telecommun., CNRS, Paris, France
Volume :
1
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
421
Abstract :
In this paper, we are interested in the sender´s name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented to work in parallel. The first one is based on image document analysis (OCR recognition, physical block selection), the other on text analysis (word feature extraction, local grammar rules). Our main contribution consisted in introducing a neural network to find an optimal combination of the two approaches. Tests carried on real fax images show that the neural network improves performance compared to an empirical combination function and to each method used separately.
Keywords :
document image processing; facsimile; feature extraction; learning (artificial intelligence); multilayer perceptrons; optical character recognition; text analysis; word processing; OCR; fax cover pages; image document analysis; local grammar rules; machine learning; neural network; physical block selection; proper name extraction; real fax images; senders name extraction; text analysis; word feature extraction; Data mining; Electronic mail; Feature extraction; Image analysis; Intelligent networks; Machine learning; Neural networks; Optical character recognition software; Text analysis; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334144
Filename :
1334144
Link To Document :
بازگشت