Automatic recognition of handwritten numerical strings: a recognition and verification strategy
Oliveira, L.S.
Sabourin, R.
Bortolozzi, F.
Suen, C.Y.
Lab. d'Imagerie de Vision et d'Intelligence Artificielle, Ecole de Technologie Superieure, Montreal, Que., Canada;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Nov 2002
Volume: 24,
Issue: 11
On page(s): 1438- 1454
ISSN: 0162-8828
INSPEC Accession Number: 7471341
Digital Object Identifier: 10.1109/TPAMI.2002.1046154
Current Version Published: 2004-02-26
Abstract
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.
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