An Expert System Application for Improving Results in a Handwritten Form Recognition System

Authors:
Silvana Rossetto;Flávio Varejão;Thomas W. Rauber
Affiliations:
-;-;-
Venue:
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Year:
2002

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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.