Experimental study of a novel neuro-fuzzy system for on-line handwritten UNIPEN digit recognition

Pattern Recognition Letters

Volumn 19, Issue 3-4, 1998, Pages 357-364

  Gomez Sanchez E ^a   Gago Gonzalez J A ^a   Dimitriadis, Y A ^a   Cano Izquierdo, J M ^a   Lopez Coronado J ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

ART; Fuzzy neural networks; On line handwriting recognition; UNIPEN

Indexed keywords

ADAPTIVE SYSTEMS; DATA STRUCTURES; FEATURE EXTRACTION; FUZZY SETS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; NEURAL NETWORKS; ONLINE SYSTEMS; OPTICAL CHARACTER RECOGNITION; REAL TIME SYSTEMS;

FUZZY NEURAL NETWORKS; ONLINE HAND PRINTED CHARACTER RECOGNITION SYSTEMS;

PATTERN RECOGNITION SYSTEMS;

EID: 0032025202     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00178-5     Document Type: Article

References (15)

1. Al-Emami, A., Usher, M., 1990. On-line recognition of handwritten arabic characters. IEEE Trans. Pattern Anal. Machine Intell. 12 (7), 704-710.
2. Bradski, G., Carpenter, G.A., Grossberg, S., Rosen, D.B., 1992. Working memory networks for learning temporal order, with applications to three-dimensional visual object recognition. Neural Comput. 4 (2), 270-286.
3. Cano, J.M., Dimitriadis, Y.A., Arauzo, M., López Coronado, J., 1996. FasArt: A new neuro-fuzzy architecture for incremental learning in system identification. In: Proc. IFAC World Congress, IFAC96, San Francisco, vol. F, pp. 133-138.
4. Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B., 1992. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans. Neural Networks 3 (5), 698-713.
5. Dimitriadis, Y.A., López Coronado, J., 1995. Towards an ART-based mathematical editor, that uses on-line handwritten symbol recognition. Pattern Recognition 28 (6), 807-822.
6. Gago, J.A., 1996. Development of a segmentation module for a neural system of handwriting recognition. Engineering Degree Thesis, School of Telecommunications Engineering, University of Valladolid, Spain (in Spanish).
7. Guyon, I., Schomaker, L., Plamondon, R., Liberman, M., Janet, S., 1994. UNIPEN: Project of on-line data exchange and recognizer benchmarks. In: Proc. 12th International Conference on Pattern Recognition, Jerusalem, Israel, pp. 9-13.
8. Kerrick, D.D., Bovik, A.C., 1988. Microprocessor-based recognition of hand-printed characters from a tablet input. Pattern Recognition 21 (5), 525-537.
9. Morasso, P., Barberi, L., Pagliano, S., Vergano, D., 1993. Recognition experiments of cursive dynamic handwriting with self-organizing networks. Pattern Recognition 26 (3), 451-460.
10. Merino Pastor, F., Dimitriadis, Y.A., García García, R., López Coronado, J., 1996. A dictionary-based neural network for on-line handwriting recognition. In: Simner, M.L., Leedham, C.G., Thomassen, A.J.W.M. (Eds.), Handwriting and Drawing Research: Basic and Applied Issues. IOS Press, Amsterdam, The Netherlands, pp. 343-357.
11. Plamondon, R., 1995. A kinematic theory of rapid human movements. Part 1: Movement representation and generation. Biological Cybernet. 72, 295-307.
12. Parizeau, M., Plamondon, R., 1995. A fuzzy-syntactic approach to an allograph modeling for cursive script recognition. IEEE Trans. Pattern Anal. Machine Intell. 17 (7), 702-712.
13. Renders, J.M., Flasse, S.L., 1996. Hybrid methods using genetic algorithms for global optimization. IEEE Trans. Systems Man Cybernet. 26 (2), 243-258.
14. Schomaker, L.R.B., 1993. Using stroke-or character-based self-organizing maps in the recognition of on-line connected cursive script. Pattern Recognition 26 (3), 443-450.
15. Tappert, C.C., Suen, C.Y., Wakahara, T., 1990. The state of the art in on-line handwriting recognition. IEEE Trans. Pattern Anal. Machine Intell. 12 (8), 787-808.