&lt;title&gt;Neural network for invariant recognition&lt;/title&gt;

A. N. Oparin; Irina V. Plekhanova; Nickolay G. Soloviov

doi:10.1117/12.262643

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<title>Neural network for invariant recognition</title>

A. N. Oparin Irina V. Plekhanova Nickolay G. Soloviov

Year: 1996 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2969 Pages: 132-135 Publisher: SPIE

DOI: 10.1117/12.262643

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Abstract

The method of neural network image recognition with forming of feature vector on base second order histograms is considered. Simulation results of process recognition are presented for binary contour images, and images represented in codes of local anisotropic features.

Keywords:

Histogram Pattern recognition (psychology) Artificial neural network Artificial intelligence Computer science Invariant (physics) Local binary patterns Computer vision Cognitive neuroscience of visual object recognition Feature (linguistics) Feature extraction Image (mathematics) Mathematics

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<title>Neural network for invariant recognition</title>

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