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Proceedings Paper

Integrated system for automated financial document processing
Author(s): Khaled S. Hassanein; Slawo Wesolkowski; Ray Higgins; Ralph Crabtree; Antai Peng
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Paper Abstract

A system was developed that integrates intelligent document analysis with multiple character/numeral recognition engines in order to achieve high accuracy automated financial document processing. In this system, images are accepted in both their grayscale and binary formats. A document analysis module starts by extracting essential features from the document to help identify its type (e.g. personal check, business check, etc.). These features are also utilized to conduct a full analysis of the image to determine the location of interesting zones such as the courtesy amount and the legal amount. These fields are then made available to several recognition knowledge sources such as courtesy amount recognition engines and legal amount recognition engines through a blackboard architecture. This architecture allows all the available knowledge sources to contribute incrementally and opportunistically to the solution of the given recognition query. Performance results on a test set of machine printed business checks using the integrated system are also reported.

Paper Details

Date Published: 26 February 1997
PDF: 11 pages
Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); doi: 10.1117/12.267825
Show Author Affiliations
Khaled S. Hassanein, NCR (Canada)
Slawo Wesolkowski, NCR (Canada)
Ray Higgins, NCR (Canada)
Ralph Crabtree, NCR (Canada)
Antai Peng, NCR (Canada)


Published in SPIE Proceedings Vol. 2962:
25th AIPR Workshop: Emerging Applications of Computer Vision
David H. Schaefer; Elmer F. Williams, Editor(s)

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