Generalized neocognitron model for facial recognition

Su-Shing Chen; Young-Sik Hong

doi:10.1117/12.48401

1 October 1991 Generalized neocognitron model for facial recognition

Su-Shing Chen, Young-Sik Hong

Proceedings Volume 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision; (1991) https://doi.org/10.1117/12.48401
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

The Fukushima's neocognitron model is generalized to a parallel neocognitron architecture which is applied for gray-scale facial recognition. Experiments show that the system can recognize human faces after learning. Results using the single neocognitron model for facial recognition or other gray-scale image recognition problems are not satisfactory.

Citation Download Citation

Su-Shing Chen and Young-Sik Hong "Generalized neocognitron model for facial recognition", Proc. SPIE 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, (1 October 1991); https://doi.org/10.1117/12.48401

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