Evaluating NN and HMM classifiers for handwritten word recognition

Brazilian Symposium of Computer Graphic and Image Processing

Volumn 2002-January, Issue , 2002, Pages 210-217

  De Oliveira Junior, José J ^a   De Carvalho, João M ^a   Freitas, Cinthia O De A ^b   Sabourin, Robert ^c  

^a FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTER GRAPHICS; VOCABULARY CONTROL;

COMBINATION STRATEGIES; COMPLEMENTARY MECHANISMS; FEATURE SETS; HANDWRITTEN WORD RECOGNITION; HANDWRITTEN WORD RECOGNITION PROBLEMS; HYBRID CLASSIFIER;

IMAGE PROCESSING;

EID: 84944451592     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRA.2002.1167145     Document Type: Conference Paper

References (13)

1. C. O. de A. Freitas. Uso de Modelos Escondidos de Markov para Reconhecimento de Palavras Manuscritas. Tese de Doutorado, Pontíficia Universidade Católica do Paraná, Brazil, 2001.
2. D. Guillevic. Unconstrained Handwriting Recognition Applied to the Processing of Bank Cheques. PhD Thesis. Department of Computer Science at Concordia University, Canada, 1995.
3. M. Coté. Utilisation d'un Modèle d'Accès Lexical et de Concepts Perceptifs pour la Reconnaissance d'Images de Mots Cursifs. Thèse de doctorat. École Nationale Supérieure des Télécomunications, France, 1997.
4. A. L. Koerich, R. Sabourin, Y. Leydier and C. Y. Suen. "A Hybrid Large Vocabulary Handwritten Word Recognition System Using Neural Networks with Hidden Markov Models". In proceedings of IWFHR'2002, accepted for publication.
5. J. H. Kim, K. K. Kim, C. P. Nadal and C. Suen. "A Methodology of Combining HMM and MLP Classifiers for Cursive Word Recognition". In proceedings of ICPR'2000, vol. 2, pp. 319-322, Barcelona-Spain, 2000.
6. G. Zavaliagkos, Y. Zhao, R. Schwartz and J. Makhoul. "A Hybrid Segmental Neural Net/Hidden Markov Model System for Continuous Speech Recognition". IEEE Trans. on Speech and Audio Processing, 2(1):151-160, 1994.
7. R. Schalkoff. Pattern Recognition-Statistical, Structural and Neural Approaches. Jonh Wiley & Sons, 1992.
8. L. Rabiner and B. H. Juang. Fundamental of Speech Recognition. Prentice Hall Inc., 1993.
9. S. Madhvanath and V. Govindaraju. "The Role of Holistic Paradigms in HandwrittenWord Recognition". IEEE Trans. on PAMI, 23(2):149-164, 2001.
10. J. R. Parker. Algorithms for Image Processing and Computer Vision. Jonh Wiley & Sons, 1997.
11. C. O. de A. Freitas, F. Bortolozzi and R. Sabourin. "Handwritten Isolated Word Recognition: An Approach Based on Mutual Information for Feature Set Validation". In proceedings of ICDAR'2001, pp.665-669, Seattle, USA.
12. A. El Yacoubi, M. Gilloux, R. Sabourin and C. Y. Suen. "Unconstrained Handwritten Word Recognition Using HiddenMarkovModels". IEEE Trans. on PAMI, 21(8):752-760, 1999.
13. A. Zell et al. SNNS-StuttgartNeural Network Simulator, User Manual, Version 4.2. University of Stuttgart, 1994.