USING GRA FOR 2D INVARIANT OBJECT RECOGNITION

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

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Paper

USING GRA FOR 2D INVARIANT OBJECT RECOGNITION

Topics: Industrial Applications of Artificial Intelligence

In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 109-112, 2009 , Milan, Italy

Authors: T.-H. Sun ¹ ; J. C. Liu ² ; C.-H. Tang ² and F.-C. Tien ²

Affiliations: ¹ Chaoyang University of Technology, Taiwan ; ² National Taipei University of Technology, Taiwan

Keyword(s): Invariant, KRA, GRA, K-curvature, Part recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence

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 several formats:

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; ISSN 2184-4992, SciTePress, pages 109-112. DOI: 10.5220/0001958101090112

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Sun, T.
AU - Liu, J.
AU - Tang, C.
AU - Tien, F.
PY - 2009
SP - 109
EP - 112
DO - 10.5220/0001958101090112
PB - SciTePress