Handwritten Hangul recognition using a modified neocognitron

Author:

Kim Eun Jin,Lee Yillbyung

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference12 articles.

1. Hierarchically structured neural networks for printed hangul characters recognition;Cho,1990

2. Neural network model for selective attention in visual pattern recognition and associative recall;Fukushima;Applied Optics,1987

3. Neocognitron: A hierarchical neural network capable of visual pattern recognition;Fukushima;Neural Networks,1988

4. Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position;Fukushima;Pattern Recognition,1982

5. Neocognitron: A neural network model for a mechanism of visual pattern recognition;Fukushima;IEEE Transactions on System, Man, and Cybernetics,1983

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1. Handwritten Hangul Graphemes Classification Using Three Artificial Neural Networks;Journal of information and communication convergence engineering;2023-06-30

2. Multidimensional Hebbian Learning With Temporal Coding in Neocognitron Visual Recognition;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2017-12

3. Neocognitron for handwritten digit recognition;Neurocomputing;2003-04

4. Analysis of Mixed Korean Documents Using the Branch and Bound Algorithm Based on DP Matching;Computer Vision and Image Understanding;1998-09

5. Selection of coordinate measuring machines by the neural network method;The International Journal of Advanced Manufacturing Technology;1997-01

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