Object Detection using Geometric Invariant Moment
Mohamed Rizon, Haniza Yazid, Puteh Saad, Ali Yeon Md Shakaff, Abdul Rahman Mohd Saad, Mohd Rozailan Mamat, Sazali Yaacob, Hazri Desa, M. Karthigaya · American Journal of Applied Sciences · 2006
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. Key words: Geometric invariant moment, object detection