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Volumn 21, Issue 8, 1999, Pages 752-760

An HMM-based approach for off-line unconstrained handwritten word modeling and recognition

Author keywords

Feature extraction; Handwriting modeling; Hidden markov models; Preprocessing; Rejection; Segmentation; Word recognition

Indexed keywords

FEATURE EXTRACTION; IMAGE SEGMENTATION; INFORMATION THEORY; INTERPOLATION; MARKOV PROCESSES; MATHEMATICAL MODELS;

EID: 0032644368     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.784288     Document Type: Article
Times cited : (201)

References (28)
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    • Suen, C.Y.1    Lam, L.2    Guillevic, D.3    Strathy, N.W.4    Cheriet, M.5    Said, J.N.6    Fan, R.7
  • 7
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    • IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no.1, pp. 68-83, Jan. 1989.
    • R.M. Bozinovic and S.N. Srihari, Off-Line Cursive Word Recognition,IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no.1, pp. 68-83, Jan. 1989.
    • Off-Line Cursive Word Recognition
    • Bozinovic, R.M.1    Srihari, S.N.2
  • 15
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    • IEEE Signal Processing Magazine, pp. 4-29, Apr. 1984.
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    • Vector Quantization
    • Gray, R.M.1
  • 19
    • 0015600423 scopus 로고    scopus 로고
    • Proc. IEEE, vol. 61, no. 3, pp. 268-278, Mar. 1973.
    • G.D. Forney, The Viterbi Algorithm,Proc. IEEE, vol. 61, no. 3, pp. 268-278, Mar. 1973.
    • The Viterbi Algorithm
    • Forney, G.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.