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Volumn 43, Issue 3-5, 2005, Pages 437-454

Off-line cursive handwriting recognition using multiple classifier systems - On the influence of vocabulary, ensemble, and training set size

Author keywords

Ensemble methods; Ensemble size; Handwritten text recognition; Hidden Markov model (HMM); Multiple classifier combination; Training set size; Vocabulary size

Indexed keywords

LEARNING SYSTEMS; MARKOV PROCESSES; PERSONNEL TRAINING; PROBABILITY; PROBLEM SOLVING; RANDOM PROCESSES; VOCABULARY CONTROL;

EID: 9344267740     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2004.01.004     Document Type: Article
Times cited : (20)

References (32)
  • 1
    • 0000667212 scopus 로고
    • Computer recognition of unconstrained handwritten numerals
    • Suen C, Nadal C, Legault R, Mai T, Lam L. Computer recognition of unconstrained handwritten numerals. Proc IEEE 1992;80(7): 1162-80.
    • (1992) Proc IEEE , vol.80 , Issue.7 , pp. 1162-1180
    • Suen, C.1    Nadal, C.2    Legault, R.3    Mai, T.4    Lam, L.5
  • 2
    • 0000914025 scopus 로고
    • Off-line cursive word recognition
    • Simon J-C. Off-line cursive word recognition. Proc IEEE 1992;80(7):1150-61.
    • (1992) Proc IEEE , vol.80 , Issue.7 , pp. 1150-1161
    • Simon, J.-C.1
  • 4
    • 0034239425 scopus 로고    scopus 로고
    • Handwritten address interpretation: A task of many pattern recognition problems
    • Srihari S. Handwritten address interpretation: a task of many pattern recognition problems. Int J Pattern Recogn Artif Intell 2000;14:663-74.
    • (2000) Int J Pattern Recogn Artif Intell , vol.14 , pp. 663-674
    • Srihari, S.1
  • 5
    • 0005387828 scopus 로고    scopus 로고
    • Architecture for handwritten text recognition systems
    • Lee S-W, editor. Singapore: World Scientific
    • Kim G, Govindaraju V, Srihari S. Architecture for handwritten text recognition systems. In: Lee S-W, editor. Advances in handwriting recognition. Singapore: World Scientific; 1999. p. 163-72.
    • (1999) Advances in Handwriting Recognition , pp. 163-172
    • Kim, G.1    Govindaraju, V.2    Srihari, S.3
  • 6
    • 0035247074 scopus 로고    scopus 로고
    • Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system
    • Marti U-V, Bunke H. Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system. Int J Pattern Recogn Artif Intell 2001;15:65-90.
    • (2001) Int J Pattern Recogn Artif Intell , vol.15 , pp. 65-90
    • Marti, U.-V.1    Bunke, H.2
  • 9
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Mach Learning 1996;2:123-40.
    • (1996) Mach Learning , vol.2 , pp. 123-140
    • Breiman, L.1
  • 10
    • 9344233188 scopus 로고    scopus 로고
    • A multilayered corroboration-based check reader
    • Hull J, Taylor S, editors. Singapore: World Scientific
    • Houle G, Aragon D, Smith R, Shridhar M, Kimura D. A multilayered corroboration-based check reader. In: Hull J, Taylor S, editors. Document analysis system, vol. 2. Singapore: World Scientific; 1998. p. 495-546.
    • (1998) Document Analysis System , vol.2 , pp. 495-546
    • Houle, G.1    Aragon, D.2    Smith, R.3    Shridhar, M.4    Kimura, D.5
  • 11
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • Partridge D, Yates WB. Engineering multiversion neural-net systems. Neural Comput 1996;8(4): 869-93.
    • (1996) Neural Comput , vol.8 , Issue.4 , pp. 869-893
    • Partridge, D.1    Yates, W.B.2
  • 12
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Dietterich TG, Bakiri G. Solving multiclass learning problems via error-correcting output codes. J Artif Intell Res 1995;2:263-86.
    • (1995) J Artif Intell Res , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 13
    • 84867045064 scopus 로고    scopus 로고
    • Multiple classifier combination methodologies for different output level
    • Kittler J, Roli F, editors. Springer, Cagliari, Italy
    • Suen C, Lam L. Multiple classifier combination methodologies for different output level. In: Kittler J, Roli F, editors. Proceedings of the First International Workshop on Multiple Classifier Systems, Springer, Cagliari, Italy, 2000. p. 52-66.
    • (2000) Proceedings of the First International Workshop on Multiple Classifier Systems , pp. 52-66
    • Suen, C.1    Lam, L.2
  • 16
    • 0029230267 scopus 로고
    • Combination of multiple experts for the recognition of unconstrained handwritten numerals
    • Huang T, Suen C. Combination of multiple experts for the recognition of unconstrained handwritten numerals. IEEE Trans Pattern Anal Mach Intell 1995;17:90-4.
    • (1995) IEEE Trans Pattern Anal Mach Intell , vol.17 , pp. 90-94
    • Huang, T.1    Suen, C.2
  • 19
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalisation of on-line learning and an application to boosting
    • Freund Y, Schapire RE. A decision-theoretic generalisation of on-line learning and an application to boosting. J Comput Systems Sci 1997;55(1):119-39.
    • (1997) J Comput Systems Sci , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 22
    • 84957007471 scopus 로고    scopus 로고
    • Bagging and the random subspace method for redundant feature space
    • Kittler J, Roli F, editors. Cambridge, UK
    • Skurichina M, Duin R. Bagging and the random subspace method for redundant feature space. In: Kittler J, Roli F, editors. Second International Workshop on Multiple Classifier Systems, Cambridge, UK, 2001. p. 1-10.
    • (2001) Second International Workshop on Multiple Classifier Systems , pp. 1-10
    • Skurichina, M.1    Duin, R.2
  • 23
    • 84947604413 scopus 로고    scopus 로고
    • Bagging and boosting for the nearest mean classifier: Effects of sample size on diversity and accuracy
    • Kittler J, Roli F, editors. Cagliari, Italy
    • Skurichina M, Kuncheva L, Duin R. Bagging and boosting for the nearest mean classifier: effects of sample size on diversity and accuracy. In: Kittler J, Roli F, editors. Third International Workshop on Multiple Classifier Systems, Cagliari, Italy, 2002. p. 62-71.
    • (2002) Third International Workshop on Multiple Classifier Systems , pp. 62-71
    • Skurichina, M.1    Kuncheva, L.2    Duin, R.3
  • 27
    • 84893412627 scopus 로고    scopus 로고
    • The IAM-database: An english sentence database for off-line handwriting recognition
    • Marti U, Bunke H. The IAM-database: an English sentence database for off-line handwriting recognition. Int J Document Anal Recogn 2002;5:39-46.
    • (2002) Int J Document Anal Recogn , vol.5 , pp. 39-46
    • Marti, U.1    Bunke, H.2
  • 30
    • 0002259405 scopus 로고    scopus 로고
    • Handwritten word recognition using hidden Markov model
    • Bunke H, Wang P, editors. Singapore: World Scientific
    • Kundu A. Handwritten word recognition using hidden Markov model. In: Bunke H, Wang P, editors. Handbook of character recognition and document image analysis. Singapore: World Scientific; 1997. p. 157-82.
    • (1997) Handbook of Character Recognition and Document Image Analysis , pp. 157-182
    • Kundu, A.1
  • 31
    • 0013174235 scopus 로고    scopus 로고
    • Combination of multiple classifier decisions for optical character recognition
    • Bunke H, Wang P, editors. Singapore: World Scientific
    • Lam L, Huang Y-S, Suen C. Combination of multiple classifier decisions for optical character recognition. In: Bunke H, Wang P, editors. Handbook of character recognition and document image analysis. Singapore: World Scientific; 1997. p. 79-101.
    • (1997) Handbook of Character Recognition and Document Image Analysis , pp. 79-101
    • Lam, L.1    Huang, Y.-S.2    Suen, C.3
  • 32
    • 9344235902 scopus 로고    scopus 로고
    • Off-line cursive handwriting recognition - On the influence of training set and vocabulary size in multiple classifier systems
    • Scottsdale, Arizona, USA
    • Günter S, Bunke H. Off-line cursive handwriting recognition - on the influence of training set and vocabulary size in multiple classifier systems. In: Proceedings of the 11th Conference of the International Graphonomics Society (IGS), Scottsdale, Arizona, USA, 2003. p. 196-9.
    • (2003) Proceedings of the 11th Conference of the International Graphonomics Society (IGS) , pp. 196-199
    • Günter, S.1    Bunke, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.