Authors: An-Chyau Huang, Shen-Chin Ko
Addresses: Mechanical Engineering Department, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan, Republic of China. Mechanical Engineering Department, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan, Republic of China
Abstract: The purpose of this paper is to develop a position and scale-invariant pattern recognition system based on the Hamming network (HN). The input image is processed by a feature extraction network to calculate the exact position and dimension of the pattern feature. An associate memory network is the designed to map the obtained dimension information to its corresponding HN weight matrix. With its weight matrix determined, the HN maps the input image into a proper class. Since all network parameters are obtained without learning, the system can be realised very easily.
Keywords: pattern recognition; neural network; Hamming network.
International Journal of Computer Applications in Technology, 2003 Vol.16 No.1, pp.39-46
Published online: 16 Jul 2003 *Full-text access for editors Access for subscribers Purchase this article Comment on this article