Model-based control strategy for document image analysis

Frank Fein; Frank Hoenes

doi:10.1117/12.130292

1 August 1992 Model-based control strategy for document image analysis

Frank Fein, Frank Hoenes

Proceedings Volume 1661, Machine Vision Applications in Character Recognition and Industrial Inspection; (1992) https://doi.org/10.1117/12.130292
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

Citation Download Citation

Frank Fein and Frank Hoenes "Model-based control strategy for document image analysis", Proc. SPIE 1661, Machine Vision Applications in Character Recognition and Industrial Inspection, (1 August 1992); https://doi.org/10.1117/12.130292

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