Invariance-based target recognition using Zernike Moment & SVM
Shen Chun-lin · Electronics Optics & Control · 2008
In target recognition,the invariance in target image translation,scaling and rotation is a very important factor.A novel approach is proposed in this paper.First,stable low-order geometric moments are used to conduct the translation and scaling invariance.And then Zernike Moment is used to extract rotation invariant feature.Finally,target recognition is conducted based on Support Vector Machine(SVM).The experimental results demonstrate the robustness and accuracy of the proposed algorithm.