American Journal of Applied Sciences

Object Detection using Geometric Invariant Moment

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

DOI : 10.3844/ajassp.2006.1876.1878

American Journal of Applied Sciences

Volume 3, Issue 6

Pages 1876-1878

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.

Copyright

© 2006 Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Y.M. Shakaff, Abdul R. 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.