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Volumn , Issue , 2006, Pages 2077-2080

Low cost FPGA-based highly accurate face recognition system using combined wavelets with subspace methods

Author keywords

Face recognition; FPGA; Subspace analysis methods; Wavelet transform

Indexed keywords

DAUBECHIES WAVELET; DIMENSIONALITY REDUCTION; FACE RECOGNITION ALGORITHMS; FACE RECOGNITION SYSTEMS; FPGA; HARDWARE IMPLEMENTATIONS; LOGIC RESOURCES; LOW COSTS; PROCESSING RATES; SUB-SPACE METHODS; SUBSPACE ANALYSIS;

EID: 39049128862     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312922     Document Type: Conference Paper
Times cited : (18)

References (11)
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    • Bartlett, M.S.1    Movellan, J.R.2    Sejnowski, T.J.3
  • 3
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  • 4
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    • (2005) Proc. of IEEE ICASSP Conference , vol.2 , pp. 73-76
    • Du, S.1    Ward, R.2
  • 5
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    • Sep.
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    • Sadri, M.S.1
  • 6
    • 0141978306 scopus 로고    scopus 로고
    • The Fixed-point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis
    • August
    • A. Hyvarinen, "The Fixed-point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis," Neural Processing Letters, vol. 10, no. 1, pp. 1-5, August 1999,
    • (1999) Neural Processing Letters , vol.10 , Issue.1 , pp. 1-5
    • Hyvarinen, A.1
  • 7
    • 0036565011 scopus 로고    scopus 로고
    • Face recognition with radial basis function (RBF) neural networks
    • May
    • M. Joo Er, S. Wu, J. Lu, and H. L. Toh, "Face recognition with radial basis function (RBF) neural networks," IEEE Trans. Neural Networks, vol. 13, pp. 697-710, May 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , pp. 697-710
    • Joo Er, M.1    Wu, S.2    Lu, J.3    Toh, H.L.4
  • 8
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    • Face recognition using the nearest feature line method
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    • S. Z. Li and J. Lu, "Face recognition using the nearest feature line method," IEEE Trans. Neural Networks, vol. 10, pp. 439-443, Mar. 1999.
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    • Li, S.Z.1    Lu, J.2
  • 10
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  • 11
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    • Spartan-IIE 1.8V FPGA Family Complete Data Sheet
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.