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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

Object Detection using Geometric Invariant Moment

Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Yeon Md Shakaff, Abdul Rahman Saad, Mohd Rozailan Mamat, Sazali Yaacob, Hazri Desa and M. Karthigayan

Abstract

Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identify the object from the captured image using the first invariant (Ø1). The recognition rate for this technique is 90% after the image undergoes suitable processing and segmentation process.

American Journal of Applied Sciences
Volume 3 No. 6, 2006, 1876-1878

DOI: https://doi.org/10.3844/ajassp.2006.1876.1878

Submitted On: 27 April 2006 Published On: 30 October 2006

How to Cite: Rizon, M., Yazid, H., Saad, P., Shakaff, A. Y. M., Saad, A. R., Mamat, M. R., Yaacob, S., Desa, H. & Karthigayan, M. (2006). Object Detection using Geometric Invariant Moment. American Journal of Applied Sciences, 3(6), 1876-1878. https://doi.org/10.3844/ajassp.2006.1876.1878

Open AccessCopyright: © 2006 Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Yeon Md Shakaff, Abdul Rahman Saad, Mohd Rozailan Mamat, Sazali Yaacob, Hazri Desa and M. Karthigayan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Geometric invariant moment
  • object detection