Handwritten character recognition using low resolutions

Engineering Applications of Artificial Intelligence

Volumn 12, Issue 2, 1999, Pages 139-147

  Bourbakis, N G ^a   Koutsougeras, C ^b   Jameel, A ^b  

^a BINGHAMTON UNIVERSITY   (United States)

^b TULANE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DATA STRUCTURES; GRAPH THEORY; RECURRENT NEURAL NETWORKS; VECTORS;

BACKPROPAGATION NEURAL NETWORK; CASTOR NEURAL NETWORK; HANDWRITTEN CHARACTER RECOGNITION;

CHARACTER RECOGNITION;

EID: 0033298028     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(98)00062-1     Document Type: Article

References (18)

1. Bourbakis, N. 1993. A survey on continuous handwriting recognition. SUNY, TR-1993.
2. Bourbakis N., Burton D. OCR techniques for the design of a non-conventional text reading system. Int. J. Engng. Applic. Artif. Intell. 4:1991;3.
3. Bourbakis, N., Koutsougeras, C., Jameel, A., 1995. Handwriting recognition using a reduced character method and neural nets. In: SPIE Conference on Electronic Imaging, San Jose, CA.
4. Bourbakis N., Pereira N., Mertoguno S. Design of letter-driven OCR & document system. Int. J. NCA. 19:1996;275-294.
5. Elman, J., 1990. TLEARN - simulator program for neural networks. Center for Research in Language, C-008. UC, San Diego, CA.
6. Fontaine, T., Shastri, L., 1992. Handprinted digit recognition using spatiotemporal connectionist models. In: In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 191-204.
7. Hecht-Nielsen, R. 1989. Neurocomputing. Addison Wesley, Reading, MA, 592-601.
8. Jameel, A., 1994. Experiments with various recurrent neural architectures for handwritten character recognition. In: In: Proceedings of the 6th IEEE International Conference on Tools with AI, LA, 7-9 November.
9. Koutsougeras, C., Jameel, A., 1994. Experiments with various neural architectures for handwritten character recognition. In: In: Proceedings of the 37th Midwestern Symposium on Circuits and Systems, Lafayette, LA, 3-5 August.
10. Levine, R., Drang, D., Edelson, B., 1993. AI and expert systems.
11. Morgan, D.P., Scofield, C.L., 1991. Neural networks and speech processing. Kluwer Academic, Dordrecht.
12. Periera, N., Bourbakis, N., 1993. Recognition of handwritten characters using a character reduction methodology. In: International Workshop on Frontiers in Handwriting Recognition, Buffalo, NY, May 1993, 361-366.
13. A. N. Other, 1993. Proceedings International Workshop on Frontiers in Handwriting Recognition, Buffalo, NY.
14. Rumelhart, D.E., McClelland, J.L., PDP research Group, 1986. Parallel distributed processing, Vol. 1, Foundations. The MIT Press, Cambridge, MA.
15. Touretzsky, D., 1990. Neural information processing systems. Morgan Kaufman, New York.
16. Wang, P. 1991. Character and handwriting recognition. WS Publisher.
17. Watrous, R.L., Shastri, L., 1987. Learning phonetic features using connectionist networks: an experiment in speech recognition. In: In: Proceedings of the IEEE First International Conference on Neural Networks, Vol. IV, San Diego, CA, June 1987, pp. 381-388.
18. Zhou J., Pavlidis T. Discrimination of characters by a multistage recognition process. J. Pattern Recog. 27:1994;1539-1550.