22 August 1995 Face recognition by higher-order neural networks
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slawomir Skoneczny, Slawomir Skoneczny, Jaroslaw Szostakowski, Jaroslaw Szostakowski, Andrzej Stajniak, Andrzej Stajniak, Witold Zydanowicz, Witold Zydanowicz, } "Face recognition by higher-order neural networks", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217395; https://doi.org/10.1117/12.217395

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