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Neural network-based proper names extraction in fax images

  • CNRS LTCI

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)421-424
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume1
DOIs
Publication statusPublished - 1 Jan 2004
Externally publishedYes
Event17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: 23 Aug 200426 Aug 2004

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