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Volumn 2003-January, Issue , 2003, Pages 527-536

Language-based hand-printed character recognition: A novel method using spatial and temporal informative features

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPLEX NETWORKS; COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; MARKOV PROCESSES; SIGNAL PROCESSING;

EID: 71249149131     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318052     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 4
    • 84945235457 scopus 로고
    • Thai hand-printed character recognition for microcomputer by considering the characteristic of character
    • Thailand
    • C. Kimpan and C. Amornkul, "Thai hand-printed character recognition for microcomputer by considering the characteristic of character," in The twelve EECON, Thailand, 1989.
    • (1989) The Twelve EECON
    • Kimpan, C.1    Amornkul, C.2
  • 5
    • 0032218433 scopus 로고    scopus 로고
    • Recognition of hand printed Thai characters using the cavity features of character based on neural network
    • Nov
    • P. Phokharatkul and C. Kimpan, "Recognition of hand printed Thai characters using the cavity features of character based on neural network," in IEEE Asia-Pacific Conference on Circuits and Systems, Nov. 1998, pp. 149-152.
    • (1998) IEEE Asia-Pacific Conference on Circuits and Systems , pp. 149-152
    • Phokharatkul, P.1    Kimpan, C.2
  • 8
    • 84945235459 scopus 로고    scopus 로고
    • On-line Thai handwritten characters recognition by using hidden markov model and fuzzy logic
    • Chulalongkorn university Bangkok Thailand
    • R. Budsayaparakorn, "On-line Thai handwritten characters recognition by using hidden Markov model and fuzzy logic," Techn. report, Department of electrical engineering faculty of engineering, Chulalongkorn university Bangkok, Thailand, 2001.
    • (2001) Techn. Report, Department of Electrical Engineering Faculty of Engineering
    • Budsayaparakorn, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.