Image object recognition based on the Zernike moment and neural networks

Jianwei Wan; Ling Wang; Fukan Huang; Liangzhu Zhou

doi:10.1117/12.304843

25 March 1998 Image object recognition based on the Zernike moment and neural networks

Jianwei Wan, Ling Wang, Fukan Huang, Liangzhu Zhou

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304843
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Jianwei Wan, Ling Wang, Fukan Huang, and Liangzhu Zhou "Image object recognition based on the Zernike moment and neural networks", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304843

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