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.
A probabilistic approach to automatic handwritten address reading
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 1 ; 368-371 vol.1
1995-01-01
423142 byte
Conference paper
Electronic Resource
English
A Probabilistic Approach to Automatic Handwritten Address Reading
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