Abstract
Aiming at image target recognition, a novel algorithm of Gabor wavelet neural network based on parallel structure is proposed in this paper, and the system of neural network for multi-target recognition is designed. Based on the characteristics of multi-CPU parallel structure and the parallel property of neural network, the algorithm of Gabor wavelet neural network is proved theoretically. The relevant algorithm structure is designed; the training and recognizing algorithms for image target recognition are given out. Finally, the simulation experiment for 4 types of plane targets indicated that recognition rate reached 98%+, recognizing time was 40ms. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Xu, T., Nie, Z., Yao, J., & Ni, G. (2006). Research on algorithms of gabor wavelet neural network based on parallel structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4088 LNAI, pp. 520–527). Springer Verlag. https://doi.org/10.1007/11802372_53
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