USING GRA FOR 2D INVARIANT OBJECT RECOGNITION

T.-H. Sun, J. C. Liu, C.-H. Tang, F.-C. Tien

2009

Abstract

Invariant features are vital to domain of pattern recognition. This research develops a vision-based invariant recognizer for 2D object. We perform a recognition method which adopted KRA invariant feature extractor and used grey relational analysis. The feature extraction is to derive translation, rotation, and scaling-free features through the sequential boundary and is described with its K-curvature. Our work represents the object profile with the K-curvature to obtain the position invariant property; and then the transformation of autocorrelation is to ensure orientation-invariant property. Experimental also reveals that proposed method with either GRA or MD methods offers distinctiveness and effectiveness for part recognition.

Paper Citation

in Harvard Style

Sun T., Liu J., Tang C. and Tien F. (2009). USING GRA FOR 2D INVARIANT OBJECT RECOGNITION . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 109-112. DOI: 10.5220/0001958101090112

in Bibtex Style

@conference{iceis09,
author={T.-H. Sun and J. C. Liu and C.-H. Tang and F.-C. Tien},
title={USING GRA FOR 2D INVARIANT OBJECT RECOGNITION},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={109-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001958101090112},
isbn={978-989-8111-85-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - USING GRA FOR 2D INVARIANT OBJECT RECOGNITION
SN - 978-989-8111-85-2
AU - Sun T.
AU - Liu J.
AU - Tang C.
AU - Tien F.
PY - 2009
SP - 109
EP - 112
DO - 10.5220/0001958101090112