A methodology of combining HMM and MLP classifiers for cursive word recognition

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 2, 2000, Pages 319-322

  Kim, Jin Ho ^a,b   Kim, Kye Kyung ^a   Nadal, Christine P ^a   Suen, Ching Y ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

^b Kyungil University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; VOCABULARY CONTROL;

COMBINING SCHEMES; CURSIVE WORD; HYBRID CLASSIFIER; MLP (MULTILAYER PERCEPTRON); MLP CLASSIFIERS; PROBABILITY MEASURES; WEIGHTING COEFFICIENT;

PATTERN RECOGNITION;

EID: 34147139622     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (4)

1. L.R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proceeding of the IEEE, vol. 77, no. 2, pp. 257-285, 1989.
2. A. Yacoubi, M. Gilloux, R.Sabourin, and C.Y. Suen, "An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition," IEEE Trans. on PAMI, vol. 21, no. 8, pp. 752-760, 1999.
3. S. Knerr and E. Augustin, "A Neural Network-Hidden markov Model Hybrid for Cursive Word Recognition," Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, pp. 1518-1520, 1998.
4. Y.S. Huang and C.Y. Suen, "A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals," IEEE Trans. on PAMI, vol. 17, no. 1, pp. 90-94, 1995.