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This paper presents an autoassociative memory built for graphic pattern recognition. The network was designed for the validation of handwritten signatures form bank documents. Neurons interconnections are considered to be implemented optically by computer generated holograms (CGH). The network functioning was simulated on computer and the paper presents the result of simulations on a data set and a CGH layout for neutron interconnections.
Ioan Ileana andOvidiu D. Iancu
"Optoelectronic associative neural network for recognition of some graphical patterns", Proc. SPIE 4068, SIOEL '99: Sixth Symposium on Optoelectronics, (23 February 2000); https://doi.org/10.1117/12.378636
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Ioan Ileana, Ovidiu D. Iancu, "Optoelectronic associative neural network for recognition of some graphical patterns," Proc. SPIE 4068, SIOEL '99: Sixth Symposium on Optoelectronics, (23 February 2000); https://doi.org/10.1117/12.378636