Two-Dimensional Fast Orthogonal Neural Network for Image Recognition

  • Bartłomiej Stasiak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

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.

Keywords

fast orthogonal neural network Fourier amplitude spectrum image recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bartłomiej Stasiak
    • 1
  1. 1.Institute of Computer ScienceTechnical University of ŁódźŁódźPoland

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