Image object recognition based on the Zernike moment and neural networks
Jianwei Wan, Ling Wang, Fukan Huang, Liangzhu Zhou · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
This paper first give a comprehensive discussion about the concept of artificial neural network its research methods and the relations with information processing. On the basis of such a discussion, we expound the mathematical similarity of artificial neural network and information processing. Then, the paper presents a new method of image recognition based on invariant features and neural network by using image Zernike transform. The method not only has the invariant properties for rotation, shift and scale of image object, but also has good fault tolerance and robustness. Meanwhile, it is also compared with statistical classifier and invariant moments recognition method.