Improving a Bank-Check Processing System with New HMM-based Algorithms
نویسندگان
چکیده
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. Key-Words: Pattern Recognition, Bank-check Processing System, Hidden Markov Models, Software Framework.
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تاریخ انتشار 2005