SIMULTANEOUS RECONSTRUCTION AND RECOGNITION OF NOISY CHARACTER-LIKE SYMBOLS

László Czúni, Ágnes Lipovits, Dávid Papp

Abstract

In our article we deal with the simultaneous problem of reconstruction and recognition of binary symbols loaded with heavy additive noise. We introduce a Markov Random Field (MRF) model where a shape energy term is responsible to find a solution similar to a tested hypothesis. This way we could increase the precision of the reconstruction process the only question is how to find out the right hypotheses which helps the reconstruction the best way. Fortunately the new energy term gives us the answer: the tested hypotheses with the minimal shape energy component designates the right shape.

References

  1. Geman, S. and Graffigne, C. (1986). Markov random field image models and their applications to computer vision. In Proceedings of the International Congress of Mathematicans. American Mathematical Society.
  2. Miciak, M. (2010). Radon transformation and principal component analysis method applied in postal address recognition task. International Journal of Computer Science and Applications, 7(3):33-44.
  3. Nagy, A. and Kuba, A. (2005). Reconstruction of binary matrices from fan-beam projections. Acta Cybernetica.
  4. Naser, M. A., Mahmud, A., Arefin, T. M., Sarowar, G., and Ali, M. M. N. (2009). Comparative analysis of radon and fan-beam based feature extraction techniques for bangla character recognition. IJCSNS International Journal of Computer Science and Network Security, 9(9):287-289.
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Paper Citation


in Harvard Style

Czúni L., Lipovits Á. and Papp D. (2012). SIMULTANEOUS RECONSTRUCTION AND RECOGNITION OF NOISY CHARACTER-LIKE SYMBOLS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 197-200. DOI: 10.5220/0003861101970200


in Bibtex Style

@conference{visapp12,
author={László Czúni and Ágnes Lipovits and Dávid Papp},
title={SIMULTANEOUS RECONSTRUCTION AND RECOGNITION OF NOISY CHARACTER-LIKE SYMBOLS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={197-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003861101970200},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - SIMULTANEOUS RECONSTRUCTION AND RECOGNITION OF NOISY CHARACTER-LIKE SYMBOLS
SN - 978-989-8565-03-7
AU - Czúni L.
AU - Lipovits Á.
AU - Papp D.
PY - 2012
SP - 197
EP - 200
DO - 10.5220/0003861101970200