The use of global image characteristics for neural network pattern recognitions

Maksim O. Kulyas; Oleg L. Kulyas; Aleksey S. Loshkarev

doi:10.1117/12.2270475

6 April 2017 The use of global image characteristics for neural network pattern recognitions

Maksim O. Kulyas, Oleg L. Kulyas, Aleksey S. Loshkarev

Proceedings Volume 10342, Optical Technologies for Telecommunications 2016; 1034211 (2017) https://doi.org/10.1117/12.2270475
Event: XIV International Scientific and Technical Conference on Optical Technologies in Telecommunications, 2016, Samara, Russian Federation

Abstract

The recognition system is observed, where the information is transferred by images of symbols generated by a television camera. For descriptors of objects the coefficients of two-dimensional Fourier transformation generated in a special way. For solution of the task of classification the one-layer neural network trained on reference images is used. Fast learning of a neural network with a single neuron calculation of coefficients is applied.

Citation Download Citation

Maksim O. Kulyas, Oleg L. Kulyas, and Aleksey S. Loshkarev "The use of global image characteristics for neural network pattern recognitions", Proc. SPIE 10342, Optical Technologies for Telecommunications 2016, 1034211 (6 April 2017); https://doi.org/10.1117/12.2270475

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