A new type of recurrent neural network for handwritten character recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 1, Issue , 1995, Pages 38-41

  Lee, Seong Whan ^a   Kim, Young Jaon ^b  

^a Korea University   (South Korea)

^b BIT Computer Co   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; DISCRIMINATORS; FEEDFORWARD NEURAL NETWORKS; MULTILAYER NEURAL NETWORKS;

CONCORDIA UNIVERSITY; ELMAN RECURRENT NEURAL NETWORK; HAND WRITTEN CHARACTER RECOGNITION; HAND-WRITTEN CHARACTERS; HANDWRITTEN NUMERAL; MULTILAYER FEEDFORWARD NEURAL NETWORKS;

RECURRENT NEURAL NETWORKS;

EID: 85004175700     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1995.598939     Document Type: Conference Paper

References (8)

1. R. P. Lippmann, "An Introduction to Computing with Neural Nets, " IEEE ASSP Magazine, Vol. 4, pp. 4-22, April 1987.
2. Y. Le Cun et al., "Constrained Neural Network for Unconstrained Handwritten Digit Recognition, " Proc. 1st Int. Workshop on Frontiers in Handwriting Recognition, Montreal, Canada, pp. 145-154, 1990.
3. J. F. Kolen, "Exploring the Computational Capabilities of Recurrent Neural Networks, " A Thesis for the Ph. D. Degree, Ohio State University, 1994.
4. A. W. Senior, "Off-line Handwriting Recognition: A Review and Experiments, " Technical Report, TR105, Engineering Department, Cambridge University, 1992.
5. R. J. Williams and D. Zipser, "A Learning Algorithm for Continually Running Fully Recurrent Neural Networks, " Neural Computation, Vol. 1, pp. 270-280, 1989.
6. S.-W. Lee and Y. J. Kim, "A New Type of Recurrent Neural Network Architecture for Pattern Recognition and Its Convergence Result, " 1995 (Submitted for publication).
7. C. Y. Suen, C. Nadal, T. A. Mai, R. Legault, and L. Lam, "Recognition of Handwritten Numerals Based on the Concept of Multiple Experts, " Proc. 1st I d . Workshop on Frontiers in Handwriting Recognition, Montreal, Canada, pp. 131-144, 1990.
8. S.-W. Lee and Y. J. Kim, "Multilayer Cluster Neural Network for Totally Unconstrained Handwritten Numeral Recognition, )) Neural Networks, 1995 (To appear).