Experiment Science and Technology, Volume. 22, Issue 1, 22(2024)

Fusion Experimental Method of Soft Biometrics Based on Personalized Least Squares

Qing ZHANG and Yangyang ZHANG*
Author Affiliations
  • Fine Arts School of Shandong University, Jinan 250100, China
  • show less
    References(16)

    [1] N TRANQ, P TURNBULLB, J HU. Biometrics privacy-preservation: How do they evolve?. IEEE Open Journal of the Computer Society, 2, 179-191(2021).

    [2] SHEKHARS, M PATELV, N M NASRABADI. Joint sparse representation for robust multimodal biometrics recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 113-126(2014).

    [3] U PARK, A K JAIN. Face matching and retrieval using soft biometrics. IEEE Transactions on Information Forensics and Security, 5, 406-415(2010).

    [4] L YANG, G YANG, Y YIN. Exploring soft biometric traits in finger vein recognition. Neurocomputing, 135, 218-228(2014).

    [5] D OSORIO-ROIG, C RATHGEB, P DROZDOWSKI. An attack on facial soft-biometric privacy enhancement. IEEE Transactions on Biometrics, Behavior, and Identity Science, 4, 263-275(2022).

    [6] U SAEED. Micro-expressions as a soft biometric for person recognition. Pattern Recognition Letters, 143, 95-103(2021).

    [7] K SADEDDINE, F Z CHELALI, R DJERADI. Recognition of user-dependent and independent static hand gestures: Application to sign language. Journal of Visual Communication and Image Representation, 79, 103193(2021).

    [8] A MHENNI, E CHERRIER, C ROSENBERGER. User dependent template update for keystroke dynamics recognition(2018).

    [9] Q ZHANG, Y YIN, G YANG. Face recognition based on sparse similarity sequence. Journal of Computational Information Systems, 10, 9629-9639(2014).

    [10] F S ASSAAD, G SERPEN. Transformation based score fusion algorithm for multi-modal biometric user authentication through ensemble classification. Procedia Computer Science, 61, 410-415(2015).

    [11] C BISOGNI, M NAPPI. Multibiometric score-level fusion through optimization and training(2019).

    [12] C ZHOU, L WANG, Q ZHANG. Face recognition based on PCA and logistic regression analysis. Optik, 125, 5916-5919(2014).

    [13] A VINAY, V S SHEKHAR, K N BALASUBRAMANYA. Performance study of LDA and KFA for Gabor based face recognition system. Procedia Computer Science, 57, 960-969(2015).

    [14] S C KUO, C J LIN, J R LIAO. 3D recon-struction and face recognition using kernel-based ICA and neural networks. Expert Systems with Applications, 38, 5406-5415(2011).

    [15] S ZHAO, S ZHU. Face recognition by LLE dimensionality reduction(2011).

    [16] Q ZHANG, Y YIN, G YANG. Unmatched minutiae: Useful information to boost fingerprint recognition. Neurocomputing, 171, 1401-1413(2016).

    Tools

    Get Citation

    Copy Citation Text

    Qing ZHANG, Yangyang ZHANG. Fusion Experimental Method of Soft Biometrics Based on Personalized Least Squares[J]. Experiment Science and Technology, 2024, 22(1): 22

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 3, 2022

    Accepted: --

    Published Online: Mar. 27, 2024

    The Author Email: ZHANG Yangyang (张洋洋)

    DOI:10.12179/1672-4550.20220630

    Topics