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 & M. Karthigayan
American Journal of Applied Sciences, Volume 3, Issue 6, pp. 1876–1878 · doi.org/10.3844/ajassp.2006.1876.1878
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.
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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
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