A novel feature recognition neural network and its application to character recognition

Authors :: Mansur R. Kabuka
Basit Hussain
Source :: IEEE Transactions on Pattern Analysis and Machine Intelligence. 16:98-106
Publication Year :: 1994
Publisher :: Institute of Electrical and Electronics Engineers (IEEE), 1994.
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. >

Subjects :: Artificial neural network
business.industry
Time delay neural network
Intelligent character recognition
Computer science
Applied Mathematics
Feature recognition
Neocognitron
Computational Theory and Mathematics
Artificial Intelligence
Pattern recognition (psychology)
Feature (machine learning)
Computer Vision and Pattern Recognition
Artificial intelligence
business
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