A probabilistic approach to automatic handwritten address reading

To sort handwritten mail pieces, the French Postal Office Research Centre has developed a reading device. After recalling the different processing stages of our system, we focus on the problem of merging the decisions made by its different sub-modules (postal code and city name hypotheses) to produc...

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Bibliographic Details
Main Authors: Bertille, J.-M., Gilloux, M.
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Cities and towns
Feature extraction
Handwriting recognition
Hidden Markov models
Image segmentation
Merging
Postal services
Sorting
Testing
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Summary:To sort handwritten mail pieces, the French Postal Office Research Centre has developed a reading device. After recalling the different processing stages of our system, we focus on the problem of merging the decisions made by its different sub-modules (postal code and city name hypotheses) to produce a unique and reliable final decision. To achieve this goal we use a probabilistic modelling of the system behaviour taking into account the characteristics of all the processing stages involved in handwritten address recognition. This approach has been rested on large reference sets consisting of live mail handwritten envelopes and already produces very promising results.
DOI:10.1109/ICDAR.1995.599015