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.

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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