IRO Journals
Journal of Innovative Image Processing

Multi-Level Authentication: Combining Face, Palm, and Liveness Detection for Improved Security

Open Access
Published: 22 June, 2023
Pages: 181-191
  • Raja Suganya PV , Raja Suganya PV
    Asst Prof of Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
    Asst Prof of Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
  • Sam Joshua S , Sam Joshua S
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
  • Vigneshwar B , Vigneshwar B
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
  • Jai Kishan M Jai Kishan M
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
    Artificial Intelligence and Data Science, Velammal Engineering College, Chennai, India
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How to Cite

PV, Raja Suganya, Sam Joshua S, Vigneshwar B, and Jai Kishan M. 2023. “Multi-Level Authentication: Combining Face, Palm, and Liveness Detection for Improved Security”. Journal of Innovative Image Processing 5 (2): 181-91. https://doi.org/10.36548/jiip.2023.2.008.
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Keywords

Face and palm recognition technologies
Liveness detection

Abstract

Face and palm recognition technologies have emerged as powerful tools for authentication, but they can still be vulnerable to fraud and impersonation. Liveness detection is a technique that can detect and prevent fraudulent attempts to bypass authentication by verifying the presence of a live human being during the authentication process. Combining face and palm recognition with liveness detection provides a highly effective and secure approach to authentication, which can prevent fraud and unauthorised access while providing a seamless and user-friendly experience.

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