Dynamic observations and dynamic state termination for off-line handwritten word recognition using HMM

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2002, Pages 314-319

  Al Ohali, Y ^a   Cheriet, M ^b   Suen, C Y ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

^b ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

2D PATTERNS; DISCRIMINATIVE POWER; DYNAMIC OBSERVATION; DYNAMIC TERMINATION; HMM MODELS; OFF-LINE HANDWRITTEN; TRAJECTORY ESTIMATION; VOICE SIGNALS;

EID: 84879633368     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWFHR.2002.1030929     Document Type: Conference Paper

References (16)

1. I. Abuhaiba, M. Holt and S. Datta, Processing of off-line handwritten text: polygonal approximation and enforcement of temporal information, Graphical Models and Image Processing, 56(4), 1994, pp.324-335.
2. C. Boccignone, A. Chianese, L. Cordella and A. Marcelli, Recovering dynamic information from handwriting, Pattern Recognition, 26(3), 1993, pp. 409-418.
3. H. Bunke, R. Ammann, G. Kaufmann, T. Ha, M. Schenkel, R. Seiler and F. Eggimann, Recovery of temporal information of cursively handwritten words for on-line recognition, 4th ICDAR, 1997, 931-935.
4. T. Huang and M. Yasuhara, A total stroke SLALOM method for searching for the optimal drawing order of off-line handwriting, Proc. IEEE Systems, Man and Cybernetics Soc., 1995, pp. 132-143.
5. S. Jager, Recovering writing traces in off-line handwriting recognition: using global optimization technique, Proc. 13th ICPR, 1996, pp. 150-154.
6. Y. Kato and M. Yasuhara, Recovery of drawing order from single-stroke handwriting images, IEEE Trans. on PAMI, 22(9), 2000, pp. 938-949.
7. L. Rabiner, A tutorial on Hidden Markov Models and selected applications in speech recognition, Proceedings of the IEEE, 77 (2), 1989, pp. 257-285.
8. M. Mohamed and P. Gader, Handwritten Word Recognition Using Segmentation-Free Hidden Markov Modeling and Segmentation-Based Dynamic Programming Techniques, IEEE Trans. on PAMI, 18(5), pp. 548-554, 1996.
9. H. Miled, C. Olivier, M. Cheriet and Y. Lecourtier, Coupling Observation/Letter for a Markovian Modelisation Applied to the Recognition of Arabic Handwriting, ICDAR, pp. 580-583, 1997.
10. A. El-Yacoubi, M. Gilloux, R. Sabourin and C. Suen, An HMM-based approach for off-line unconstrained handwritten word modeling and recognition, IEEE Trans. on PAMI, 21, 8, 1999, pp. 752-760.
11. Y. Al-Ohali, M. Cheriet and C. Y. Suen, Efficient Estimation of Pen-trajectory from off-line Handwritten Words, ICPR 2002, Quebec City, (Accepted).
12. A. Kundu, Y. He, and M. Chen, Alternatives to Variable Duration HMM in Handwriting Recognition, IEEE Trans. On PAMI, 20,11, 1998, pp. 1275-1280.
13. N. Gorski, V. Anisimov, E. Augustin, O. Baret, D. Price and J. Simon, A2iA Check Reader: A Family of Bank Check Recognition Systems, Proc. 5th ICDAR, Bangalore, India, 1999, pp.523-526.
14. K. Cheung, D. Yeung, and R. Chin, A Bayesian Framwork for Deformable Pattern Recognition with Application to Handwritten Character Recognition, IEEE Trans. on PAMI, 20, 12, 1998, pp. 1382-1388.
15. X. Li, M. Parizeau, and R. Plamondon, Training Hidden Markov Models with Multiple Observations-A Combinatorial Method, IEEE Trans on PAMI, 22, 4, 2000, pp. 371-377.
16. Y. Al-Ohali, M. Cheriet and C. Y. Suen, Databases for Recognition of Handwritten Arabic Cheques, Proc. 7th IWFHR, Sept. 2000, Amsterdam, the Netherlands, pp. 601-606.