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Volumn 60, Issue 1, 2011, Pages 95-104

Design a facial recognition system using multilayer perceptron and probabilistic neural networks based geometrics 3D facial

Author keywords

Biometric recognition; Geometrics techniques; Image processing; Neural network; Photo Modeler

Indexed keywords


EID: 80053277251     PISSN: 1450216X     EISSN: 1450202X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (14)
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    • Updated February 7
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    • Morgan, D.1    Krouse, W.2
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    • Face recognition/detection by probabilistic decision-based neural network
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    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.1 , pp. 114-132
    • Lin, S.-H.1    Kung, S.-Y.2    Lin, L.-J.3
  • 10
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • David E. Rumelhart, James L. McClelland, and the PDP research group. editors, Foundations. MIT Press
    • Rumelhart, David E., Geoffrey E. Hinton, and R. J. Williams. "Learning Internal Representations by Error Propagation". David E. Rumelhart, James L. McClelland, and the PDP research group. (editors), Parallel distributed processing: Explorations in the microstructure of cognition, Volume 1: Foundations. MIT Press, 1986.
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    • Rumelhart1    David, E.2    Hinton, G.E.3    Williams, R.J.4
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    • Rapid and brief communication: Face recognition robust to left/right shadows; facial symmetry
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    • (2006) Journal of Pattern Recognition , vol.39 , Issue.8 , pp. 1542-1545
    • Song, Y.1    Kim, Y.2    Chang, U.3    Kwon, H.4
  • 13
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    • Robust Hausdorff distance measure for face recognition
    • DOI 10.1016/j.patcog.2006.04.019, PII S0031320306001713
    • Vivek E., Sudha N., 2007. "Robust Hausdorff distance measure for face recognition", Journal of Pattern Recognition 40(2):431-442. (Pubitemid 44637291)
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    • Vivek, E.P.1    Sudha, N.2
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    • Analyzing PCA-based face recognition algorithms: Ei-genvector selection and distance measures
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    • Yambor W., Draper B., and Beveridge R., 2002. "Analyzing PCA-Based Face Recognition Algorithms: Ei-Genvector Selection and Distance Measures", Empirical Evaluation Methods in Computer Vision, H. Christensen and J. Phillips, eds., Singapore: World Scientific Press.
    • (2002) Empirical Evaluation Methods in Computer Vision
    • Yambor, W.1    Draper, B.2    Beveridge, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.