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Volumn 2005, Issue , 2005, Pages 550-554

Enhancing training data for handwriting recognition of whiteboard notes with samples from a different database

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA REDUCTION; DATABASE SYSTEMS; HIDDEN MARKOV MODELS; MERGING; PROBLEM SOLVING;

EID: 33847372828     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.105     Document Type: Conference Paper
Times cited : (4)

References (16)
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    • S. Günter and H. Bunke. HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components. Pattern Recognition, 37:2069-2079, 2004.
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    • Günter, S.1    Bunke, H.2
  • 7
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    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
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    • (1995) Computer Speech and Language , vol.9 , pp. 171-185
    • Leggeter, C.J.1    Woodland, P.C.2
  • 9
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    • 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. IJPRAI, 15:65 - 90, 2001.
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    • Marti, U.-V.1    Bunke, H.2
  • 10
    • 84893412627 scopus 로고    scopus 로고
    • The IAM-database: An English sentence database for offline handwriting recognition
    • U.-V. Marti and H. Bunke. The IAM-database: an English sentence database for offline handwriting recognition. IJDAR, 5:39-46, 2002.
    • (2002) IJDAR , vol.5 , pp. 39-46
    • Marti, U.-V.1    Bunke, H.2
  • 11
    • 10044288047 scopus 로고    scopus 로고
    • Recognition of on-line handwritten mathematical formulas in th e-chalk system
    • E. Tapia and R. Rojas. Recognition of on-line handwritten mathematical formulas in th e-chalk system. In Proc. 7th ICDAR, pages 980-984, 2003.
    • (2003) Proc. 7th ICDAR , pp. 980-984
    • Tapia, E.1    Rojas, R.2
  • 12
    • 35248834679 scopus 로고    scopus 로고
    • Accumulated-recognition-rate normalization for combining multiple on/off-line Japanese character classifiers tested on a large database
    • O. Velek, S. Jäger, and M. Nakagawa. Accumulated-recognition-rate normalization for combining multiple on/off-line Japanese character classifiers tested on a large database. In Proc. 4th Multiple Classifier Systems, pages 196-205, 2003.
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    • Velek, O.1    Jäger, S.2    Nakagawa, M.3
  • 13
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  • 14
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    • Combining online and offline handwriting recognition
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    • A survey of table recognition: Models, observations, transformations and inferences
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.