Face recognition by higher-order neural networks

Slawomir Skoneczny; Jaroslaw Szostakowski; Andrzej Stajniak; Witold Zydanowicz

doi:10.1117/12.217395

22 August 1995 Face recognition by higher-order neural networks

Slawomir Skoneczny, Jaroslaw Szostakowski, Andrzej Stajniak, Witold Zydanowicz

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217395
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

In this paper a novel higher-order neural network structure is proposed. A combination of the Sigma-Pi network (as feature extractor) in the first layer and the functional link network (as a classifier) in the second layer is used in a difficult problem of real work gray scale image recognition (human faces classification) invariant to translation, change of scale, and in plane rotation. Both theoretical background of the problem as well as theoretical and practical results are presented.

Citation Download Citation

Slawomir Skoneczny, Jaroslaw Szostakowski, Andrzej Stajniak, and Witold Zydanowicz "Face recognition by higher-order neural networks", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217395

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