Title :
A novel feature recognition neural network and its application to character recognition
Author :
Hussain, Basit ; Kabuka, M.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
fDate :
1/1/1994 12:00:00 AM
Abstract :
Presents a feature recognition network for pattern recognition that learns the patterns by remembering their different segments. The base algorithm for this network is a Boolean net algorithm that the authors developed during past research. Simulation results show that the network can recognize patterns after significant noise, deformation, translation and even scaling. The network is compared to existing popular networks used for the same purpose, especially the Neocognitron. The network is also analyzed as regards to interconnection complexity and information storage/retrieval
Keywords :
character recognition; neural nets; pattern recognition; Boolean net algorithm; Neocognitron; character recognition; deformation; feature recognition neural network; information storage/retrieval; interconnection complexity; noise; scaling; translation; Character recognition; Error analysis; Fuzzy sets; Image analysis; Image recognition; Machine intelligence; Machine vision; Neural networks; Pattern recognition; Performance analysis;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
