Hidden Markov Models for Character Recognition

IEEE Transactions on Image Processing

Volumn 1, Issue 4, 1992, Pages 539-543

  Vlontzos, J A ^a   Kung, S Y ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84923167839     PISSN: 10577149     EISSN: 19410042     Source Type: Journal    
DOI: 10.1109/83.199925     Document Type: Article

References (12)

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3. G. D. Forney, “The viterbi algorithm,” Proc. IEEE, vol. 61, pp. 268–278, Mar. 1978.
4. J. A. Vlontzos and S. Y. Kung, “Hidden Markov models for character recognition,” in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, May 1989.
5. F. Jelinek, “Continuous speech recognition by statistical methods,” Proc. IEEE, vol. 64, Apr. 1976.
6. B. H. Juang and L. R. Rabiner, “Mixture autoregressive hidden Markov models for speech signals,” IEEE Trans. Acoust., Speech Signal Processing, vol. ASSP-33, pp. 1404–1413, 1985
7. S. Y. Kung, VLSI Array Processors. Englewood Cliffs, NJ: Prentice Hall, 1988.
8. S. Kahan, T. Pavlidis, and H. S. Baird, “On the recognition of characters of any font and size,” IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-9, Mar. 1987.
9. T. Pavlidis, Algorithms for Graphics and Image Processing. Computer Science, 1982.
10. L. R. Rabiner and B. H. Juang. “An introduction to hidden Markov models.” IEEE ASSP Magazine, 3(1), Jan. 1986.
11. J. A. Vlontzos and S. Y. Kung, “A hierarchical system for character recognition with stochastic knowledge representation,” in Proc. IEEE ICNN’88, San Diego, July 1988, pp. 608–611.
12. J. N. Hwang, J. A. Vlontzos, and S. Y. Kung, “A systolic neural network architecture for hidden Markov Models,” IEEE Trans. Acoust., Speech, Signal Processing, pp. 1967–1980, Dec. 1989.