Combining multiple HMMs using on-line and off-line features for off-line arabic handwriting recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2009, Pages 201-205

  Hamdani, Mahdi ^a   El Abed, Haikal ^b   Kherallah, Monji ^a   Alimi, Adel M ^a  

^a UNIVERSITY OF SFAX   (Tunisia)

^b TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARABIC HANDWRITING; ARABIC HANDWRITING RECOGNITION SYSTEMS; COMBINATION METHOD; IFN/ENIT-DATABASE; INDIVIDUAL SYSTEMS; LINE FEATURES; OFFLINE SYSTEMS; RECOGNITION RATES; STATE OF THE ART; SYSTEM ACCURACY;

CLASSIFIERS; HIDDEN MARKOV MODELS; INFORMATION SCIENCE; LEARNING SYSTEMS;

CHARACTER RECOGNITION;

EID: 71249156078     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.40     Document Type: Conference Paper

References (19)

1. th Inter. Conf. on Document Analysis and Recognition (ICDAR), pages 382-386, 1997.
2. A. M. Alimi. A neuro-fuzzy approach to recognize Arabic handwritten characters. In Inter. Conf. on Neural Networks, volume 3, pages 1397-1400, 1997.
3. A. M. Alimi. Evolutionary computation for the recognition of on-line cursive handwriting. IETE journal of research, 48(5):385-396, 2002.
4. T. Artieres, N. Gauthier, and P. Gallinari. A Hidden Markov Models combination framework for handwriting recognition. Inter. Journal on Document Analysis and Recognition, 5:233-243, 2002.
5. N. Ben Amara, A. Belaïd, and N. Ellouze. Utilisation des modèles markoviens en reconnaissance de l'écriture arabe : Etat de l'art. In Colloque Inter. Francophone sur l'Ecrit et le Document (CIFED), pages 181-191, 2000.
6. th Inter. Conf. on Document Analysis and Recognition (ICDAR), volume 2, pages 23-26, 2007.
7. H. El Abed and V. Märgner. Improvement of Arabic handwriting recognition systems - combination and/or reject? In Document Recognition and Retrieval XVI, IS&T/SPIE Symposium on Electronic Imaging, number 7247-10, 2009.
8. th Inter. Conf. on Document Analysis and Recognition (ICDAR), volume 2, pages 893-897, 2005.
9. th Inter. Conf. on Document Analysis and Recognition (ICDAR), 2009. Accepted.
10. T. M. Hamdani and A. M. Alimi. Artificial Neural Networks and Genetic Algorithms, chapter β-SVM a new support vector machine, pages 63-68. Springer, 2003.
11. M.-K. Hu. Visual Pattern Recognition by Moment Invariants. IRE Transactions on Information Theory, 8(2):179-187, 1962.
12. M. Kherallah, L. Haddad, A. M. Alimi, and A. Mitiche. Online handwritten digit recognition based on trajectory and velocity modeling. Pattern Recognition Letters, 29:580-594, 2008.
13. th Inter. Conf. on Document Analysis and Recognition (ICDAR), volume 1, pages 70-74, 2005.
14. th Inter. Conf. on Document Analysis and Recognition (ICDAR), volume 2, pages 890-894, 2003.
15. L. R. Rabiner. A Tutorial on hidden Markov models and selected applications in speech recognition. In Proc. of the IEEE, volume 77, pages 257-286, 1989.
16. th Inter. Conf. on Pattern Recognition (ICPR), volume 3, pages 99-103, 1996.
17. th Inter. Conf. on Pattern Recognition (ICPR), volume 4, pages 505-509, 1996.
18. L. Xu, A. Kryzak, and C. Y. Suen. Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition. IEEE Trans. Syst., Man, Cybern., 22(3):418-435, 1992.
19. S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, X. A. Liu, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P. Woodland. The HTK Book. Cambridge University, 2006. for HTK Version 3.4.