Two-Dimensional Fast Orthogonal Neural Network for Image Recognition

摘要

This paper presents a method of constructing a fast orthogonal neural network suitable for raw image recognition and classification. The neural architecture of the proposed network is based on fast cosine transform algorithm modified to enable Fourier amplitude spectrum computation. The presented network has reduced computational complexity and it reaches low generalization error values as compared to a standard multilayer perceptron.