Combination of type III digit recognizers using the dempster-shafer theory of evidence

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

Volumn 2003-January, Issue , 2003, Pages 854-858

  Tomai, Catalin I ^a   Srihari, Sargur N ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LOGIC; PROBABILISTIC LOGICS;

DEMPSTER-SHAFER THEORY OF EVIDENCE; DIGIT RECOGNIZERS; EXPERIMENTAL TEST; NUMERAL RECOGNITION;

CLASSIFICATION (OF INFORMATION);

EID: 2442481378     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2003.1227783     Document Type: Conference Paper

References (9)

1. AP.Dempster. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38:325-339, 1967.
2. G.Shafer. A Mathematical Theory of Evidence. Princeton University Press, 1976.
3. S. L. Hegarat-Mascle, I. Bloch, and D. V. Madjar. Application of dempster-shafer evidence theory to unsupervised classification in multisource remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 35(4):1018-1031, 1997.
4. Y. S. Huang and C. Y. Suen. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(1):90-94, 1995.
5. J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas. On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3):226-239, March 1998.
6. C. R. Parikh, M. J. Pont, and N. B. Jones. Application of dempster-shafer theory in condition monitoring systems: A case study. Pattern Recognition Letters, 22(6-7):777-785, 2001.
7. G. Rogova. Combining the results of several neural network classifiers. Neural Networks, 7(5):777-781, 1994.
8. L. Xu, A. Krzyzak, and C. Y. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man and Cybernetics, 22(3), 1992.
9. Y. M. Zhu, L. Bentabet, O. Dupuis, V. Kaftandjian, D. babot, and M. Rombaut. Automatic determination of mass functions in dempster-shafer theory using fuzzy c-means and spatial neighborhood information for image segmentation. Optical Engineering, 41(4):760-770, 2002.