IEEE Transactions on Pattern Analysis and Machine Intelligence
Off-Line, Handwritten Numeral Recognition by Perturbation Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of handprinted numerals in VISA card application forms
Machine Vision and Applications
Handwritten Numeral Recognition with the Improved LDA Method
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Amount Translation and Error Localization in Check Processing Using Syntax-Directed Translation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Neural network-based systems for handprint OCR applications
IEEE Transactions on Image Processing
A class-modular GLVQ ensemble with outlier learning for handwritten digit recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
An associative memory-based learning model with an efficient hardware implementation in FPGA
Expert Systems with Applications: An International Journal
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In collaboration with financial institutions and utility companies, we have carried out substantial research on document analysis and handwriting recognition. This paper describes our prototype which can differentiate between cheques and remittance slips, between English and French cheques, and recognize their contents. A new technique of sorting handwritten cheques and financial documents will be described. It is based on the detection of the structural properties printed on such documents. Handwritten numeric amounts are recognized by a multiple-expert system. These systems have been applied to read handwritten cheques and numerous financial documents with a great variety of backgrounds, colours, and designs in real-life environments. Their performance will be presented and analyzed.