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Authors: Daniel Keysers 1 ; Faisal Shafait 1 and Thomas M. Breuel 2

Affiliations: 1 German Research Center for Artificial Intelligence (DFKI) GmbH, Germany ; 2 Technical University of Kaiserslautern, Germany

Keyword(s): Document Image Analysis, Zone Classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: We describe a simple, fast, and accurate system for document image zone classification — an important sub-problem of document image analysis — that results from a detailed analysis of different features. Using a novel combination of known algorithms, we achieve a very competitive error rate of 1.46% (n = 13811) in comparison to (Wang et al., 2006) who report an error rate of 1.55% (n = 24177) using more complicated techniques. The experiments were performed on zones extracted from the widely used UW-III database, which is representative of images of scanned journal pages and contains ground-truthed real-world data.

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Paper citation in several formats:
Keysers, D.; Shafait, F. and M. Breuel, T. (2007). DOCUMENT IMAGE ZONE CLASSIFICATION - A Simple High-Performance Approach. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 44-51. DOI: 10.5220/0002052900440051

@conference{visapp07,
author={Daniel Keysers. and Faisal Shafait. and Thomas {M. Breuel}.},
title={DOCUMENT IMAGE ZONE CLASSIFICATION - A Simple High-Performance Approach},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={44-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002052900440051},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - DOCUMENT IMAGE ZONE CLASSIFICATION - A Simple High-Performance Approach
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Keysers, D.
AU - Shafait, F.
AU - M. Breuel, T.
PY - 2007
SP - 44
EP - 51
DO - 10.5220/0002052900440051
PB - SciTePress