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Volumn , Issue , 2002, Pages 357-362

Handwritten address recognition with open vocabulary using character n-grams

Author keywords

[No Author keywords available]

Indexed keywords

ADDRESS RECOGNITION; DIFFERENT SIZES; LANGUAGE MODEL; POST PROCESSING; RECOGNITION SYSTEMS; SINGLE PARTS; TIED-MIXTURES; VOCABULARY RECOGNITION;

EID: 18044383807     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWFHR.2002.1030936     Document Type: Conference Paper
Times cited : (23)

References (13)
  • 4
    • 85118743743 scopus 로고    scopus 로고
    • Statistical language modeling using the cmu-cambridge toolkit
    • Rhodes, Greece, Sept
    • P. Clarkson and R. Rosenfeld. Statistical Language Modeling Using the CMU-Cambridge Toolkit. In Proc. Eurospeech, pages 2707-2710, Rhodes, Greece, Sept. 1997.
    • (1997) Proc. Eurospeech , pp. 2707-2710
    • Clarkson, P.1    Rosenfeld, R.2
  • 7
    • 85017287102 scopus 로고
    • An efficient a stack decoder algorithm for continuous speech recognition with a stochastic language model
    • San Francisco, Mar
    • D. Paul. An efficient A stack decoder algorithm for continuous speech recognition with a stochastic language model. In IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pages 25-28, San Francisco, Mar. 1992.
    • (1992) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) , pp. 25-28
    • Paul, D.1
  • 8
    • 0022594196 scopus 로고
    • An introduction to hidden markov models
    • L. Rabiner and B. Juang. An Introduction to Hidden Markov Models. IEEE ASSP Magazine, pages 4-16, 1986.
    • (1986) IEEE ASSP Magazine , pp. 4-16
    • Rabiner, L.1    Juang, B.2
  • 9
    • 33646907991 scopus 로고    scopus 로고
    • Two decades of statistical language modeling: Where do we go from here
    • R. Rosenfeld. Two decades of statistical language modeling: Where do we go from here? Proceedings of the IEEE, 88(8), 2000.
    • (2000) Proceedings of the IEEE , vol.88 , Issue.8
    • Rosenfeld, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.