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Volumn 2001-January, Issue , 2001, Pages 8-13

A candidate reduction method for handwritten kanji character recognition

Author keywords

[No Author keywords available]

Indexed keywords

ADDRESS RECOGNITION; CONFIDENCE VALUES; REDUCTION METHOD;

EID: 3042633147     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953745     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 84951835619 scopus 로고    scopus 로고
    • Unconstrained Japanese address recognition⋯
    • E. Ishidera et al.: "Unconstrained Japanese Address Recognition⋯", ICDAR'97, 1997.
    • (1997) ICDAR'97
    • Ishidera, E.1
  • 2
    • 84951814989 scopus 로고
    • A candidate reduction method for Japanese character segmentation
    • E. Ishidera et al.: "A Candidate Reduction Method for Japanese Character Segmentation", ACCV95, 1995.
    • (1995) ACCV95
    • Ishidera, E.1
  • 3
    • 84951743231 scopus 로고
    • A study on a certainty of character recognition
    • [in Japanese]
    • Y. Nakayama et al.: "A Study on a Certainty of Character Recognition", IEICE General Conf., D-541, 1995. [in Japanese]
    • (1995) IEICE General Conf. , vol.D-541
    • Nakayama, Y.1
  • 4
    • 79951593990 scopus 로고    scopus 로고
    • A new reject decision method for statistical pattern recognition
    • K. Akiyama: "A New Reject Decision Method for Statistical Pattern Recognition", IWFHR5, 1996.
    • (1996) IWFHR5
    • Akiyama, K.1
  • 5
    • 0034205922 scopus 로고    scopus 로고
    • Precise candidate selection for large character set recognition by confidence evaluation
    • C. Liu, M. Nakagawa.: "Precise Candidate Selection for Large Character Set Recognition by Confidence Evaluation", IEEE trans. PAMI, Vol. 22, 2000.
    • (2000) IEEE Trans. PAMI , vol.22
    • Liu, C.1    Nakagawa, M.2
  • 6
    • 0039990463 scopus 로고
    • On-line Japanese character recognition experiments by an off-line method based on Normalization-cooperated feature extraction
    • M. Hamanaka et al.: "On-Line Japanese Character Recognition Experiments by an Off-Line Method Based on Normalization-cooperated Feature Extraction", ICDAR'93, 1993.
    • (1993) ICDAR'93
    • Hamanaka, M.1
  • 7
    • 0001015964 scopus 로고    scopus 로고
    • A formulation of learning vector quantization using a new misclassification measure
    • A. Sato et al.:" A Formulation of Learning Vector Quantization Using a New Misclassification Measure", ICPR'98, 1998.
    • (1998) ICPR'98
    • Sato, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.