Evidential combination of multiple HMM classifiers for multi-script handwritting recognition

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

Volumn 6178 LNAI, Issue , 2010, Pages 445-454

  Kessentini, Yousri ^a   Burger, Thomas ^b   Paquet, Thierry ^a  

^a UNIVERSITÉ DE ROUEN   (France)

^b UNIVERSITÉ EUROPÉENNE DE BRETAGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARABIC SCRIPTS; CLASSICAL ALGORITHMS; DEMPSTER-SHAFER THEORY; HANDWRITTING RECOGNITION; PROBABILISTIC OUTPUT; PUBLIC DATABASE;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DATA PROCESSING; FORMAL LOGIC; KNOWLEDGE BASED SYSTEMS; LINGUISTICS;

CHARACTER RECOGNITION;

EID: 77954872447     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14049-5_46     Document Type: Conference Paper

References (19)

1. Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley- Interscience, Hoboken (2004
2. Xu, L., Krzyzak, A., Suen, C.: Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst., Man, Cybern. (3) (1992
3. Arica, N., Yarman-Vural, F.T.: An overview of character recognition focused on off-line handwriting. IEEE Trans. Systems, Man and Cybernetics, Part C: Applications and Reviews (2), 216-232 (2001
4. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976
5. Smets, P.: The transferable belief model. Artif. Intell. 66(2), 191-234 (1994
6. Valente, F., Hermansky, H.: Combination of acoustic classifiers based on dempstershafer theory of evidence. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, vol.4, pp. 1129-1132 (April 2007
7. Burger, T., Aran, O., Urankar, A., Akarun, L., Caplier, A.: A dempster-shafer theory based combination of classifiers for hand gesture recognition. In: Computer Vision and Computer Graphics - Theory and Applications. Lecture Notes in Communications in Computer and Information Science (2008
8. Aran, O., Burger, T., Caplier, A., Akarun, L.: A belief-based sequential fusion approach for fusing manual and non-manual signs. Pattern Recognition 42(5), 812-822 (2009
9. Gagnon, L., Foucher, S., Laliberte, F., Boulianne, G.: A simplified audiovisual fusion model with application to large-vocabulary recognition of french canadian speech. Canadian Journal of Electrical and Computer Engineering 33(2), 109-119 (Spring 2008
10. Mercier, D., Cron, G., Denoeux, T., Masson, M.H.: Fusion de d́ecisions postales dans le cadre du mod́ele des croyances transf́erables. Traitement du Signal 24(2), 133-151 (2007
11. Masson, M.H., Denoeux, T.: Belief functions and cluster ensembles. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS, vol.5590, pp. 323-334. Springer, Heidelberg (2009
12. Duda, R., Hart, P., Stork, D.: Pattern Classification. Wiley, Chichester (2001
13. Keynes, J.M.: Fundamental ideas. A Treatise on Probability, ch. 4 (1921
14. Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 257-286 (1989
15. Kessentini, Y., Paquet, T., Hamadou, A.B.: Off-line handwritten word recognition using multi-stream hidden markov models. Pattern Recognition Letters 30(1), 60- 70 (2010
16. Kessentini, Y., Paquet, T., Burger, T.: Comparaison des ḿethodes probabilistes et ́evidentielles de fusion de classifieurs pour la reconnaissance de mots manuscrits. In: CIFED (to appear, 2010
17. Pechwitz, M., Maddouri, S., Maergner, V., Ellouze, N., Amiri, H.: Ifn/enit - database of handwritten arabic words. In: Colloque International Francophone sur l'Ecrit et le Doucement, pp. 129-136 (2002
18. Grosicki, E., Carre, M., Brodin, J., Geoffrois, E.: Results of the rimes evaluation campaign for handwritten mail processing. In: International Conference on Document Analysis and Recognition, pp. 941-945 (2009
19. Kittler, J., Hatef, M., Duin, R.P., Matas, J.: On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 226-239 (1998