• Optoelectronics Letters
  • Vol. 14, Issue 2, 143 (2018)
Yuan LUO1, Bo-yu WANG1、*, Yi ZHANG2, and Li-ming and ZHAO2
Author Affiliations
  • 1Key Laboratory of Optoelectronic Information Sensing and Technology, Chongqing University of Posts and Tele-communications, Chongqing 400065, China
  • 2Engineering Research Center for Information Accessibility and Service Robots, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.1007/s11801-018-7226-7 Cite this Article
    LUO Yuan, WANG Bo-yu, ZHANG Yi, and ZHAO Li-ming. A novel fusion method of improved adaptive LTP and two-directional two-dimensional PCA for face feature extraction[J]. Optoelectronics Letters, 2018, 14(2): 143 Copy Citation Text show less
    References

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    [2] Mashhoori A and Jahromi M Z, Neurocomputing 108, 111 (2013).

    [3] Tasnim Tarannum and Anwesha Paul, Human Expres-sion Recognition based on Facial Features, IEEE Com-puter Society Conference on Electronics and Vision, 990 (2016).

    [4] Lei Z, Ahonen T and Pietik.inen M, Local Frequency Descriptor for Low-resolution Face Recognition, IEEE International Conference on Automatic Face & Gesture Recognition and Workshops, 161 (2011).

    [5] Ibrahim M, Efat A and Kayesh H, Dynamic Local Ter-nary Pattern for Face Recognition and Verification, In-ternational Conference on Computer Engineering and Applications, 2014.

    [6] Ruby A U and Chandran J G C, A Theoretical Approach on Face Recognition with Single Sample per Class us-ing CS-LBP and Gabor Magnitude and Phase, 2016.

    [7] Ren J, Jiang X and Yuan J, Relaxed Local Ternary Pat-tern for Face Recognition, IEEE International Confer-ence on Image Processing, 3680 (2013).

    [8] Raja G M and Sadasivam V, Journal of Electrical Engi-neering & Technology 12, 402 (2017).

    LUO Yuan, WANG Bo-yu, ZHANG Yi, and ZHAO Li-ming. A novel fusion method of improved adaptive LTP and two-directional two-dimensional PCA for face feature extraction[J]. Optoelectronics Letters, 2018, 14(2): 143
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