350 rub
Journal Information-measuring and Control Systems №5 for 2012 г.
Article in number:
The new tasks of payment documents reading automation
Authors:
N. Gorski
Abstract:
In recent the new requirements for automation of bank payment documents are emerging. In processing of bank checks which are the most widespread payment instruments it is required not only to recognize payment amount but also to recognize the names of the payer and the recipient, verify signatures, addresses, bank accounts, code strings. The three different processes of automated checks reading: recognition, detection and verification. The one of the most complex tasks in check processing is in localization of required information fields on the image of document due to typical weak structuring of bank checks. The processing begins with segmentation stage which is being followed by symbol and word recognition stage which finally ends in filtration by dictionary.
Pages: 33-41
References
- Александров В.В., Горский Н.Д. Представление и обработка изображений. Рекурсивный подход. Л.: Наука. 1985.
- Dupre X., Augustin E. Hidden Markov models for couples of letters applied to handwriting recognition // Proc. of the 17th International Conference on Pattern Recognition.Cambridge. 2004. Р.618-621.
- Dzuba G., Filatov A., Gershuny D., Kil I., Nikitin V. Check amount recognition based on the cross validation of courtesy and legal amount fields // Int. Journ. of Pattern Recognition and Artificial Intelligence. 1997. №11(4). Р.639-655.
- Gorski N. Optimizing error-reject trade-off in recognition systems //Proc. of the 4-th Int. Conf. on Document Analysis and Recognition. Ulm. 1997. Р. 1092-1096.
- Горский Н., Анисимов В., Горская Л. Распознавание рукописного текста. Оттеориикпрактике. СПб: Политехника. 1997.
- Greco N., Impedovo D., Lucchese M., Salzo A., Sarcinella L. Bank-check processing system: modifications due to the new European currency // Proc. of the 7-th Int. Conf. on Document Analysis and Recognition. Edinburgh. 2003. Р.343-348.
- Jayadevan R., Kolhe S., Patil P., Pal U. Automatic Processing of Handwritten Bank Cheque Images: A Survey // Int. Journ. of Document Analysis and Recognition. 2011. № 10(7). Р.1-30.
- Knerr S., Anisimov V., Baret O., Gorski N., Price D., Simon J.-C. The A2iA Intercheque system: courtesy amount and legal amount recognition for French checks // Int. Journ. of Pattern Recognition and Artificial Intelligence. 1997. № 11(4). Р.505-547.
- Oliveira L.,Sabourin R., Bortolozzi F., Suen C.Y.A modular system to recognize numerical amounts on Brazilian bank checks //Proc. of the 6-th Int. Conf. on Document Analysis and Recognition. Seattle. 2001. Р.389-394.
- Shetty S., Shridhar M., Houle G. Background elimination in bank checks using greyscale morphology //Proc. of the 7th Int. Workshop on Frontiers in Handwriting Recognition. Amsterdam. 2000. Р.83-91.
- Tang H., Augustin E., Suen C.Y., Baret O., Cheriet M. Recognition of Unconstrained Legal Amounts Handwritten on Chinese Bank Checks // Proc. of the 17th International Conference on Pattern Recognition. Cambridge. 2004. Р. 610-613