A statistical approach for phrase location and recognition within a text line: an application to street name recognition

We describe an approach to conjointly locate and recognize a street name within a street line. The system developed is based on a probabilistic framework that naturally integrates various knowledge sources to emit a final decision. At the handwriting signal level, hidden Markov models are extensivel...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2002-02, Vol.24 (2), p.172-188
Main Authors: El-Yacoubi, M.A., Gilloux, M., Bertille, J.-M.
Format: Article
Language:English
Subjects:
Data mining
Error analysis
Focusing
Handwriting recognition
Hidden Markov models
Image recognition
Intelligence
Mathematical models
Names
Pattern analysis
Position (location)
Postal services
Recognition
Sorting
Streets
Text recognition
Writing
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Summary:We describe an approach to conjointly locate and recognize a street name within a street line. The system developed is based on a probabilistic framework that naturally integrates various knowledge sources to emit a final decision. At the handwriting signal level, hidden Markov models are extensively used to provide the needed matching scores. Several optimization techniques are employed to speed up the processing time. Experiments carried out on large data sets of street line images, automatically extracted from real French mail envelope images, show very promising results.
ISSN:0162-8828
1939-3539
DOI:10.1109/34.982898