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Volumn 3, Issue , 2005, Pages 2334-2339

Ensemble methods for handwritten text line recognition systems

Author keywords

Classifier Ensemble Methods; Handwritten Text Line Recognition; Hidden Markov Model; Statistical Language Model

Indexed keywords

CHARACTER RECOGNITION; COMPUTER PROGRAMMING LANGUAGES; DATABASE SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; TEXT PROCESSING; WORD PROCESSING;

EID: 27944450744     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (23)
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    • Huang, T.1    Suen, C.2
  • 6
    • 0005387828 scopus 로고    scopus 로고
    • Architecture for handwritten text recognition systems
    • S.-W. Lee, editor. World Scientific Publ. Co.
    • G. Kim, V. Govindaraju, and S. Srihari. Architecture for handwritten text recognition systems. In S.-W. Lee, editor, Advances in Handwriting Recognition, pages 163-172. World Scientific Publ. Co., 1999.
    • (1999) Advances in Handwriting Recognition , pp. 163-172
    • Kim, G.1    Govindaraju, V.2    Srihari, S.3
  • 7
    • 0035247074 scopus 로고    scopus 로고
    • Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system
    • U.-V. Marti and H. Bunke. Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system. International Journal of Pattern Recognition and Artificial Intelligence, 15:65-90, 2001.
    • (2001) International Journal of Pattern Recognition and Artificial Intelligence , vol.15 , pp. 65-90
    • Marti, U.-V.1    Bunke, H.2
  • 9
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected application in speech recognition
    • L. Rabiner. A tutorial on hidden Markov models and selected application in speech recognition. Proc. of the IEEE, 77(2):257-286, 1989.
    • (1989) Proc. of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.1
  • 16
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    • Error bounds for convolutional codes and an asimptotically optimal decoding algorithm
    • A. Viterbi. Error bounds for convolutional codes and an asimptotically optimal decoding algorithm. IEEE Transactions on Information Theory, 13(2):260-269, 1967.
    • (1967) IEEE Transactions on Information Theory , vol.13 , Issue.2 , pp. 260-269
    • Viterbi, A.1
  • 17
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    • Wagner, R.1    Fischer, M.2
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    • On the complexity of multiple sequence alignment
    • L. Wang and T. Jiang. On the complexity of multiple sequence alignment. Journal of Computational Biology, 1(4):337-348, 1994.
    • (1994) Journal of Computational Biology , vol.1 , Issue.4 , pp. 337-348
    • Wang, L.1    Jiang, T.2
  • 23
    • 10044276756 scopus 로고    scopus 로고
    • Optimizing the integration of a statistical language model in HMM based offline handwriting text recognition
    • M. Zimmermann and H. Bunke. Optimizing the integration of a statistical language model in HMM based offline handwriting text recognition. In 17th International Conference on Pattern Recognition, Cambridge, England, volume 2, pages 541 - 544, 2004.
    • (2004) 17th International Conference on Pattern Recognition, Cambridge, England , vol.2 , pp. 541-544
    • Zimmermann, M.1    Bunke, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.