Pattern fusion in feature recognition neural networks for handwritten character recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 28, Issue 4, 1998, Pages 612-617

  Lee, Shie Jue ^a   Tsai, Hsien Leing ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Fuzzy ARTMAP; Link weight; Matching degree; Node weight; Recognition by parts; Vigilance

Indexed keywords

CHARACTER RECOGNITION; FUZZY SETS; LEARNING SYSTEMS;

PATTERN FUSION;

NEURAL NETWORKS;

EID: 0032139348     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.704300     Document Type: Review

References (15)

1. G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynold, and D. B. Rosen, "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Trans. Neural Networks, vol. 3, pp. 698-713, Sept. 1992.
2. G. A. Carpenter, S. Grossberg, and J. H. Reynolds, "ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network," Neural Networks, vol. 4, pp. 565-588, 1991.
3. Z. Chi, M. Suters, and H. Yan, "Handwritten digit recognition using combined ID3-derived fuzzy rule and Markov chains," Pattern Recognit., vol. 29, pp. 1821-1834, Nov. 1996.
4. P. W. Frey and D. J. Slate, "Letter recognition using Holland-type adaptive classifiers," Mach. Learn., vol. 6, pp. 161-182, 1991.
5. K. Fukushima and S. Miyake, "Neocognitron: A neural network model for a mechanism of visual pattern recognition," IEEE Trans. Syst., Man, Cybern, vol. SMC-13, pp. 826-834, Sept. 1983.
6. K. Fukushima and N. Wake, "Handwritten alphanumeric character recognition by the neocognitron," IEEE Trans. Neural Networks, vol. 2, May 1991.
7. J. Hu, M. K. Brown, and W. Turin, "HMM based on-line handwriting recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 1039-1044, Oct. 1996.
8. B. Hussain and M. R. Kabuka, "A novel feature recognition neural network and its application to character recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 98-106, Jan. 1994.
9. J. J. Hopfield and D. W. Tank, "Neural computation of decision in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
10. S. Lee and J. C.-J. Pan, "Unconstrained handwritten numeral recognition based on radial basis competitive and cooperative networks with spatiotemporal feature representation," IEEE Trans. Neural Networks, vol. 7, pp. 455-474, Mar. 1996.
11. S. W. Lee, "Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 648-652, June 1996.
12. Y. Li, D. Lopresti, G. Nagy, and A. Tomkins, "Validation of image defects models for optical character recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 99-108, June 1996.
13. M. Mohamed and P. Gader, "Handwritten word recognition using segmentation-free hidden Markov modeling and segmentation-based dynamic programming techniques," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 548-553, May 1996.
14. H.-S. Park and S.-W. Lee, "Off-line recognition of large-set handwritten characters with multiple hidden Markov models." Pattern Recognit., vol. 29, pp. 231-244, Feb. 1996.
15. H. J. Zimmermann. Fuzzy Set Theory and Its Applications, 2nd ed. Norwell, MA: Kluwer, 1991.