• Opto-Electronic Engineering
  • Vol. 40, Issue 4, 101 (2013)
YUAN Chenhu1、*, LIU Tiegen2、3, and LI Xiuyan1、2、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2013.04.015 Cite this Article
    YUAN Chenhu, LIU Tiegen, LI Xiuyan. Identification Algorithm for Fusion of Hand Vein Iris and Fingerprint Based on kNN-SVM[J]. Opto-Electronic Engineering, 2013, 40(4): 101 Copy Citation Text show less
    References

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    [3] Snelick R, Uludag U, Mink A, et al. Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2005, 27(3): 450-455.

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    [6] LI Xiuyan, LIU Tiegen, DENG Shichao, et al. Fast recognition of hand vein with SURF descriptors [J]. Chinese Journal of Scientific Instrument, 2011, 32(4): 831-836.

    [7] LI Xiuyan, LIU Tiegen, DENG Shichao. Personal Identity Recognition Algorithm Based on Fusion of Hand Vein, Iris and Fingerprint [J]. Opto-Electronic Engineering, 2010, 37(8): 104-110.

    [8] LI Xiuyan, LIU Tiegen, DENG Shichao, et al. Fusion of Hand Vein, Iris and Fingerprint for Person Identity Verification Based on Bayesian Theory [J]. Procceeding of SPIE(S0277-786X), 2009, 7512: 75120M-75120M-9.

    [9] Fatemi M H, Gharaghani S, Mohammadkhani S, et al. Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine [J]. Electrochimica Acta(S0013-4686), 2008, 53: 4276-4282.

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    YUAN Chenhu, LIU Tiegen, LI Xiuyan. Identification Algorithm for Fusion of Hand Vein Iris and Fingerprint Based on kNN-SVM[J]. Opto-Electronic Engineering, 2013, 40(4): 101
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