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Volumn 2005, Issue , 2005, Pages 1182-1187

Ink normalization and beautification

Author keywords

[No Author keywords available]

Indexed keywords

HANDWRITING RECOGNITION; INK NORMALIZATION; SEGMENTATION ERRORS;

EID: 33947406475     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.143     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 1
    • 0029411630 scopus 로고
    • Lerec: A nn/hmm hybrid for on-line handwriting recognition
    • November
    • Y. Bengio, Y. LeCun, C. Nohl, and C. Burges. Lerec: A nn/hmm hybrid for on-line handwriting recognition. Neural Computation, 7(6): 1289-1303, November 1995.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1289-1303
    • Bengio, Y.1    LeCun, Y.2    Nohl, C.3    Burges, C.4
  • 3
    • 84892768095 scopus 로고    scopus 로고
    • Automatic reading of cursive scripts using a reading model and perceptual concepts the perpecto system
    • M. Côté, E. Lecolinet, M. Cheriet, and C. Y. Suen. Automatic reading of cursive scripts using a reading model and perceptual concepts the perpecto system. IJDAR, 1(1):3-17, 1998.
    • (1998) IJDAR , vol.1 , Issue.1 , pp. 3-17
    • Côté, M.1    Lecolinet, E.2    Cheriet, M.3    Suen, C.Y.4
  • 7
    • 0020970241 scopus 로고
    • Multilevel computational processes for visual surface reconstruction
    • D. Terzopoulos. Multilevel computational processes for visual surface reconstruction. In Comput. Vision, Graphics, Image Processing, volume 24, pages 52-96, 1983.
    • (1983) Comput. Vision, Graphics, Image Processing , vol.24 , pp. 52-96
    • Terzopoulos, D.1
  • 8
    • 0035395118 scopus 로고    scopus 로고
    • A new normalization technique for cursive handwritten words
    • A. Vinciarelli and J. Luettin. A new normalization technique for cursive handwritten words. Pattern Recognition Letters, 22(9): 1043-1050, 2001.
    • (2001) Pattern Recognition Letters , vol.22 , Issue.9 , pp. 1043-1050
    • Vinciarelli, A.1    Luettin, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.