An HMM-SNN method for online handwriting symbol recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4142 LNCS, Issue , 2006, Pages 897-905

  Huang, B Q ^a   Kechadi, M T ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MARKOV PROCESSES; MATHEMATICAL MODELS; ONLINE SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

DYNAMICAL MODELING; FEATURE VECTORS; SYMBOLS RECOGNITION;

PATTERN RECOGNITION SYSTEMS;

EID: 33749664381     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11867661_81     Document Type: Conference Paper

References (15)

1. T. Fitzgerald, M-T. Kechadi, and F. Geiselbrechtinger. Application of fuzzy logic to online handwriting recognition, pages 26-29, Tokyo, Japan, October 2004.
2. J. Subrahmonia and T. Zimmerman. Pen computing: Challenges and applications, volume 2, pages 60 - 66, Sept 2000.
3. L.R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), February 1989.
4. B.Q.Huang and T-M. Kechadi. A recurrent neural network recogniser for online recognition of handwritten symbols. In ICEIS (2), pages 27-34, 2005.
5. Steve Lawrence, C. Lee Giles, and Sandiway Fong. Natural language grammatical inference with recurrent neural networks. IEEE Trans. on Knowledge and Data Engineering, 12(1):126-140, 2000.
6. Yann LeCun and Yoshua Bengio. Convolutional networks for images, speech, and time series, pages 255-258, 1998.
7. M. Morita, L.S. Oliveira, R. Sabourin, F. Bortolozzi, and C.Y. Suen. An hmm-mlp hybrid system to recognize handwritten dates. In Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on, volume 1, pages 867-872, 2002.
8. K.T.Abou-Moustafa, M. Cheriet, and C.Y. Suen. Classification of time-series data using a generative/discriminative hybrid. In Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on, pages 51-56, Oct,2004.
9. W. Guerfali and R. Plamondon. Normalizing and restoring on-line handwriting. Pattern Recognition, 26(3):419-431, 1993.
10. X.L. Li, M. Parizeau, and R. Plamondon. Segmentation and reconstruction of on-line handwritten scripts. Pattern Recognition, 31(6):675-684, 1998.
11. D. E. Rumelhart and J. L. McClelland. Parallel Distributed Processing: Explorations in the Micro structure of Cognition, volume 1 and 2. MIT Press, Cambridge, MA, 1986.
12. D.Lowe. Radial Basis Function Networks, The Handbook of Brain Theory and Neural Networks, volume 1 and 2. MIT Press, Cambridge, MA, 1995.
13. I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet. Unipen project of on-line data exchange and recognizer benchmarks. Proceedings of the 12th International Conference on Pattern Recognition,ICPR'94, pages 29-33, October 1994.
14. R. Plamondon and S. Srihari. On-line and off-line handwriting recognition: a comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):63-84, January 2000.
15. M. BoteLorenzo, Y. dimitriadis, and E. GomezSanchez. Automatic extraction of human-recognizable shape and execution prototypes of handwritten characters. Pattern Recognition, 36(7): 1605-1607, 2003.