A novel pair-wise recognition scheme for handwritten characters in the framework of a multi-expert configuration

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

Volumn 1311, Issue , 1997, Pages 624-631

  Rahman, A F ^a   Fairhurst, M C ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Decision combination; Handwritten character recognition; Multiple expert classifiers; Neural networks

Indexed keywords

DECISION TREES; IMAGE ANALYSIS; IMAGE PROCESSING; NEURAL NETWORKS;

DECISION COMBINATION; HAND WRITTEN CHARACTER RECOGNITION; HAND-WRITTEN CHARACTERS; HANDWRITTEN NUMERAL; INDEXING TERMS; MULTIPLE NEURAL NETWORKS; PERFORMANCE ENHANCEMENTS; TRAINED NEURAL NETWORKS;

CHARACTER RECOGNITION;

EID: 84957625738     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63508-4_176     Document Type: Conference Paper

References (7)

1. Kittier, J. and Hatel, M.: Improving recognition rates by classifier combination. Fifth International Workshop on Frontiers of Handwriting Recognition, Sep. 2-5, University of Essex, UK., (1996) 81-102.
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3. Waterhouse, S. R. and Robinson, A. J.: Classification using hierarchical mixtures of experts. Proc. IEEE Workshop on Neural Networks for Signal Processing 4. (1994) 177-186.
4. Rahman, A. F. R. and Fairhurst, M. C: A new approach to handwritten character recognition using multiple experts. Fifth International Workshop on Frontiers of Handwriting Recognition, Sep. 2-5, University of Essex, UK., (1996) 283-286.
5. Rahman, A. F. R. and Fairhurst, M. C: Recognition of handwritten characters with a multi-expert system. IEE Workshop on Handwriting Analysis and Recognition-A European Perspective, May 23, London, (1996).
6. Fairhurst, M. C. and Rahman, A. F. R.: A Generalised approach to the recognition of structurally similar handwritten characters. IEE Proc. on Vision, Image and Signal Processing, 144(1) (1997) 15-22.
7. Rumelhart, D. E., Hinton, G. E. and Williams, R. J.: Learning internal representations by error propagation, in Parallel Distributed Processing 1, Rumelhart, D. E. and McClelland, J. L., eds., MIT Press, Cambridge, MA, (1986) 318-362.