Automatic recognition of handwritten numerical strings: a recognition and verification strategy
Top Cited Papers
- 1 November 2002
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 24 (11) , 1438-1454
- https://doi.org/10.1109/tpami.2002.1046154
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.Keywords
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