Abstract
This paper presents a categorization of the knowledge used during the stage of post-processing of the recognized results in a system that automatically reads handwritten information from forms. The objective is to handle the uncertainty present in the semantics of each field of the form. We use grammatical rules particular of the Portuguese language and specialized information about the characteristics of the recognition system. A knowledge-based system uses the different information classes to collect evidence in order to correct the misclassified characters.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. M. Benevides, S. Rossetto, and T. W. Rauber. Adaptação de um sistema de reconhecimento de formulário. I. International Seminar on Document Management, Curitiba, Brasil, Nov. 10-11, 1998.
M. D. Garris, J. L. Blue, G. T. Candela, P. J. Grother S. A. Janet, and C. L. Wilson. NIST form-based handprint recognition system. Technical Report NISTTR 5959, U. S. Dept. of Commerce, NIST, Gaitherburg, MD 20899-001, 1997.
Michael Malburg. Comparative evaluation of techniques for word recognition improvement by incorporation of syntactic information. Proceedings of the Fourth International Conference on Document Analysis and Recognition (ICDAR’97), 1997.
R. Plamondon and Sargur N. Srihari. On-line and off-line handwriting recognition: A comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):63–84, January 2000.
J. Schürmann, N. Bartneck, T. Bayer, J. Franke E. Mandler, and M. Oberländer. Document analysis —from pixels to contents. Proceedings of the IEEE, 80(7):1101–1119, July 1992.
Kazem Taghva, Julie Borsack, Bryan Bullard, and Allen Condit. Post-editing through approximation and global correction. UNLV Information Science Research Institute, Annual Report, University of Nevada, Las Vegas, 1993.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rossetto, S., Varejão, F.M., Rauber, T.W. (2002). An Expert System Application for Improving Results in a Handwritten Form Recognition System. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_38
Download citation
DOI: https://doi.org/10.1007/3-540-48035-8_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43781-9
Online ISBN: 978-3-540-48035-8
eBook Packages: Springer Book Archive