INVARIANT FEATURES FOR CHARACTER RECOGNITION

Ryszard S. Choraś

Abstract

This paper presents feature extraction method for recognition of isolated characters. Feature extraction is most important factor in achieving high recognition performance. We presented moments invariants as features for pattern recognition. This article analyzes the image feature extraction task on the basis of moments invariants for image recognition problem.

References

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Paper Citation


in Harvard Style

Choraś R. (2004). INVARIANT FEATURES FOR CHARACTER RECOGNITION . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-12-0, pages 102-107. DOI: 10.5220/0001139201020107


in Bibtex Style

@conference{icinco04,
author={Ryszard S. Choraś},
title={INVARIANT FEATURES FOR CHARACTER RECOGNITION},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2004},
pages={102-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001139201020107},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - INVARIANT FEATURES FOR CHARACTER RECOGNITION
SN - 972-8865-12-0
AU - Choraś R.
PY - 2004
SP - 102
EP - 107
DO - 10.5220/0001139201020107