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Volumn , Issue , 2009, Pages 533-539

Face recognition with local line binary pattern

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; TEXTURES;

EID: 77952263106     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIG.2009.123     Document Type: Conference Paper
Times cited : (63)

References (18)
  • 9
    • 37849037421 scopus 로고    scopus 로고
    • Learning multi-scale block local binary patterns for face recognition
    • S.-W. Lee and S. Z. Li, editors Springer
    • S. Liao, X. Zhu, Z. Lei, L. Zhang, and S. Z. Li. Learning multi-scale block local binary patterns for face recognition. In S.-W. Lee and S. Z. Li, editors, ICB, volume 4642 of Lecture Notes in Computer Science, pages 828-837. Springer, 2007.
    • (2007) ICB, Volume 4642 of Lecture Notes in Computer Science , pp. 828-837
    • Liao, S.1    Zhu, X.2    Lei, Z.3    Zhang, L.4    Li, S.Z.5
  • 10
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on featured distributions
    • T. Ojala, M. Pietikäinen, and D. Harwood. A comparative study of texture measures with classification based on featured distributions. Pattern Recognition, 29(1):51-59, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.1 , pp. 51-59
    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.3
  • 13
    • 50249146984 scopus 로고    scopus 로고
    • Illumination normalization based on simplified local binary patterns for a face verification system
    • USA, September IEEE Computational Intelligence Society
    • Q. Tao and R. N. J. Veldhuis. Illumination normalization based on simplified local binary patterns for a face verification system. In Biometrics Symposium 2007 at The Biometrics Consortium Conference, Baltimore, Maryland, pages 1-7, USA, September 2007. IEEE Computational Intelligence Society.
    • (2007) Biometrics Symposium 2007 at the Biometrics Consortium Conference, Baltimore, Maryland , pp. 1-7
    • Tao, Q.1    Veldhuis, R.N.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.