Strategies in character segmentation: a survey
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Evaluation of Combination Methods
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Bank-check Processing System: Modifications Due to the New European Currency
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Numeral Recognition by Weighting Local Decisions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
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In this paper a new version of a bank-check processing system is presented. Many important integrations are proposed in order to improve its classification accuracy. This goal is achieved by using the Computer Aided Software Engineering tools provided by the "Khoros" software framework. New algorithms, based on Hidden Markov Models, both for courtesy and legal amount recognition, are implemented and added to those previously used for image pre-processing, amounts recognition and classifier combination. A visual programming environment is used to re-assemble the bank-check processing system that can be easily modified and extended. Experimental results, using own and international databases, show the obtained improvements.