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Proceedings Paper

Model-based control strategy for document image analysis
Author(s): Frank Fein; Frank Hoenes
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Paper Abstract

Generally, document analysis and understanding involves many processing steps, like unskewing, segmentation, logical labeling, text recognition, and text analysis. Most of these steps can be subdivided into different tasks depending on the problem-solving methods available. All of the techniques are more or less specialized to certain input, but some are also competitive. As a consequence, a document analysis system incorporating many analysis methods must properly schedule and control these methods to obtain an optimal result. In this paper, we present a model for the control strategy of a document image analysis system as well as mechanisms for its interpretation that describe three important aspects: which specialist can be applied to which object in which analysis state. The analysis model comprises all possible sequences of processing steps which are relevant for the analysis tasks. The underlying document architecture supports the analysis specialists by corresponding knowledge and provides a framework for representing the analysis results.

Paper Details

Date Published: 1 August 1992
PDF: 10 pages
Proc. SPIE 1661, Machine Vision Applications in Character Recognition and Industrial Inspection, (1 August 1992); doi: 10.1117/12.130292
Show Author Affiliations
Frank Fein, German Research Ctr. for Artificial Intelligence (Germany)
Frank Hoenes, German Research Ctr. for Artificial Intelligence (Germany)


Published in SPIE Proceedings Vol. 1661:
Machine Vision Applications in Character Recognition and Industrial Inspection
Donald P. D'Amato; Wolf-Ekkehard Blanz; Byron E. Dom; Sargur N. Srihari, Editor(s)

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