A domain knowledge-based approach for automatic correction of printed invoices

Although OCR technology is now commonplace, character recognition errors are still a problem, in particular, in automated systems for information extraction from printed documents. This paper proposes a method for the automatic detection and correction of OCR errors in an information extraction syst...

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Bibliographic Details
Main Authors: Sorio, E., Bartoli, A., Davanzo, G., Medvet, E.
Format: Conference Proceeding
Language:English
Subjects:
document understanding
error correction
error detection
Information retrieval
Joints
optical character recognition
Optical character recognition software
Semantics
Syntactics
Text analysis
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Summary:Although OCR technology is now commonplace, character recognition errors are still a problem, in particular, in automated systems for information extraction from printed documents. This paper proposes a method for the automatic detection and correction of OCR errors in an information extraction system. Our algorithm uses domain-knowledge about possible misrecognition of characters to propose corrections; then it exploits knowledge about the type of the extracted information to perform syntactic and semantic checks in order to validate the proposed corrections. We assess our proposal on a real-world, highly challenging dataset composed of nearly 800 values extracted from approximately 100 commercial invoices and we obtained very good results.