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August 26, 2025INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTOpen Access

A Secure Bank Locker Access System using Facial Recognition with Liveness- Based Spoofing Detection

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Authors

BMB. S. ManjunathMSM. L. J. Shruthi

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Overview

This system improves biometric security for bank lockers by integrating facial recognition and anti-spoofing technology, indicating a significant advancement in protection against unauthorized access.

Key Points

  • The system achieves high security by using facial recognition combined with liveness detection, eliminating conventional vulnerabilities.
  • The liveness detection model, LivenessNet, accurately distinguishes between real and spoofed images, enhancing security.
  • Implementation involves computer vision techniques through Python and the OpenCV library, ensuring a user-friendly experience.
  • This advancement sets a new standard for protecting assets in banking with a robust and reliable design.

Cite This Study

Manjunath et al. (2025) studied this question.

synapsesocial.com/papers/68af61fdad7bf08b1eae28cehttps://doi.org/10.55041/ijsrem52083
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Design and Implementation of a Face Recognition-Based Access Control System with Active Liveness Detection2026
  2. 2Enhancing Face Liveness Detection: Novel Deep CNN Architectures for Anti-Spoofing2025
  3. 3Implementation of YOLOv8n-Based Liveness Detection to Enhance the Security of Facial Attendance Systems Against Real-Time Spoofing Attacks2026
  4. 4Anti Face Spoofing System2024
  5. 5Biometric Security: Vulnerabilities And Liveness2026