SIMULTANEOUS RECONSTRUCTION AND RECOGNITION OF NOISY CHARACTER-LIKE SYMBOLS

László Czúni, Ágnes Lipovits, Dávid Papp

2012

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.

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 2: 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 2: 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 2: 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