B. Hussain et Mr. Kabuka, A NOVEL FEATURE RECOGNITION NEURAL-NETWORK AND ITS APPLICATION TO CHARACTER-RECOGNITION, IEEE transactions on pattern analysis and machine intelligence, 16(1), 1994, pp. 98-106
This paper presents a Feature Recognition Network for pattern recognit
ion that learns the patterns by remembering their different segments.
The base algorithm for this network is a Boolean net algorithm that we
developed during our past research. Simulation results show that the
network can recognize patterns after significant noise, deformation, t
ranslation and even scaling. The network is compared to existing popul
ar networks used for the same purpose, especially Neocognitron. The ne
twork is also analyzed as regards to interconnection complexity and in
formation storage/retrieval.