An HMM-based Approach for Date Recognition
نویسندگان
چکیده
This article presents the rst results of a system developed to recognize automatically handwritten dates on Brazilian bankchecks. Considering an omni-writer context, we detail here our recognition module dedicated to process the month eld. This module is based on the combination of holistic and analytical approaches with a limited lexicon. Both approaches operate with a single explicit segmentation technique that provides a grapheme sequence for the Hidden MarkovModels of each recognizer. We show signi cative improvements in combining both modules to get a satisfactory recognition rate considering the small database we work with. Finally, we present several perspectives of our future work.
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