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Automatic recognition of handwritten numerical strings: a recognition and verification strategy

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4 Author(s)
Oliveira, L. ; Lab. d''Imagerie de Vision et d''Intelligence Artificielle, Ecole de Technologie Superieure, Montreal, Que., Canada ; Sabourin, R. ; Bortolozzi, F. ; Suen, C.Y.

A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a recognition and verification strategy. The approach combines the outputs from different levels such as segmentation, recognition, and postprocessing in a probabilistic model. A new verification scheme which contains two verifiers to deal with the problems of oversegmentation and undersegmentation is presented. A new feature set is also introduced to feed the oversegmentation verifier. A postprocessor based on a deterministic automaton is used and the global decision module makes an accept/reject decision. Finally, experimental results on two databases are presented: numerical amounts on Brazilian bank checks and NIST SD19. The latter aims at validating the concept of modular system and showing the robustness of the system using a well-known database.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:24 ,  Issue: 11 )

Date of Publication:

Nov 2002

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