DOCUMENT IMAGE ZONE CLASSIFICATION - A Simple High-Performance Approach

Daniel Keysers, Faisal Shafait, Thomas M. Breuel

2007

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 44-51. DOI: 10.5220/0002052900440051

in Bibtex Style

@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 - Volume 2: VISAPP,},
year={2007},
pages={44-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002052900440051},
isbn={978-972-8865-74-0},
}

in EndNote Style

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