Training of hidden markov models for cursive handwritten word recognition

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 1, 2000, Pages 973-976

  Bojovic, Marija ^a   Savic, Milan D ^b  

^a KPN RESEARCH   (Netherlands)

^b University of Belgrade   (Serbia)

Author keywords

Hidden markov models; Lexicon driven approach; Off line cursive handwriting recognition; Vector quantization

Indexed keywords

CHARACTER RECOGNITION; VECTOR QUANTIZATION;

COMPARISON OF PERFORMANCE; DISCRETE MODELING; GLOBAL DISTRIBUTION; HANDWRITING RECOGNITION; HANDWRITTEN WORD RECOGNITION; LEXICON DRIVEN; RECOGNITION RATES; VISUAL INSPECTION;

HIDDEN MARKOV MODELS;

EID: 33750942833     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

1. M.-Y. Chen, A. Kundu, "Multi Level HMM for Handwritten Word Recognition", Proc. on ICASSP, pp.2623-2626, 1995
2. M. Mohamed, P. Gader, "Handwritten Word Recognition Using Segmentation-Free Hidden Markov Modeling and Segmentation-Based Dynamic Programming Techniques", IEEE Trans. on PAMI, Vol.18, No.5, pp.548-554, May 1996
3. L. R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition", Proc. of the IEEE, Vol.77, pp.257-286, 1989
4. M. D. Savic, M. Bojovic, "Recognition of Handwritten Text: Basic Concepts of a New Approach", Proc. on TELSIKS, 1999
5. A. J. Elms, "The representation and recognition of text using hidden Markov models", Ph.D. Thesis, University of Surrey, 1996
6. S.-T. Bow, "Pattern Recognition", Marcel Dekker, New York, 198