Share Email Print
cover

Proceedings Paper

Generalized neocognitron model for facial recognition
Author(s): Su-Shing Chen; Young-Sik Hong
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 1 October 1991
PDF: 11 pages
Proc. SPIE 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, (1 October 1991); doi: 10.1117/12.48401
Show Author Affiliations
Su-Shing Chen, Univ. of North Carolina/Charlotte (United States)
Young-Sik Hong, Dongguk Univ. (South Korea)


Published in SPIE Proceedings Vol. 1569:
Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision
Su-Shing Chen, Editor(s)

© SPIE. Terms of Use
Back to Top