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Volumn , Issue , 2004, Pages 353-358

Experimental analysis of the modified direction feature for cursive character recognition

Author keywords

[No Author keywords available]

Indexed keywords

HISTOGRAMS; MODIFIED DIRECTION FEATURES (MDF); PIXELS; TRANSITION FEATURES (TF);

EID: 18044367906     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWFHR.2004.40     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 1
    • 0030784110 scopus 로고    scopus 로고
    • Neural-network classifiers for recognizing totally unconstrained handwritten numerals
    • S-B. Cho, "Neural-Network Classifiers for Recognizing Totally Unconstrained Handwritten Numerals", IEEE Trans. on Neural Networks, vol. 8, 1997, pp. 43-53.
    • (1997) IEEE Trans. on Neural Networks , vol.8 , pp. 43-53
    • Cho, S.-B.1
  • 2
    • 0030149147 scopus 로고    scopus 로고
    • Cursive handwritten word recognition using multiple segmentation determined by contour analysis
    • H. Yamada and Y. Nakano, "Cursive Handwritten Word Recognition Using Multiple Segmentation Determined by Contour Analysis", IEICE Transactions on Information and Systems, vol. E79-D, 1996, pp. 464-470.
    • (1996) IEICE Transactions on Information and Systems , vol.E79-D , pp. 464-470
    • Yamada, H.1    Nakano, Y.2
  • 7
    • 84867175210 scopus 로고    scopus 로고
    • Combining neural gas and learning vector quantization for cursive character recognition
    • F. Camastra and A. Vinciarelli, "Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition", Neurocomputing, vol. 51, 2003, pp. 147-159.
    • (2003) Neurocomputing , vol.51 , pp. 147-159
    • Camastra, F.1    Vinciarelli, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.