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Facial Recognition Based Student Attendance with Anti Spoofing Mechanism

  • Unique Paper ID: 162585
  • Volume: 10
  • Issue: 10
  • PageNo: 431-437
  • Abstract:
  • Facial recognition technology has еmеrgеd as a sophisticated an efficient means of automating student attendance management systems. This paper presents a novel approach to student attendance tracking through Facial Recognition Based Student Attendance (FRBSA) integrated with an anti-spoofing mechanism. The system employs advanced facial recognition algorithms to accurately identify an authenticate students in real time and promoting a seamless a non-intrusive attendance taking process. To enhance security an prevent potential spoofing threats and an anti-spoofing mechanism has bееn incorporated and utilizing advanced techniques such as liveness detection to differentiate bеtwееn genuine facial features a deceptive artifact. The proposed system not only streamlines attendance recording but also addresses concerns related to identity fraud an unauthorized access. The anti-spoofing measures ensure the reliability an integrity of the attendance data and contributing to the overall robustness of the system. This research not only demonstrates the feasibility an effectiveness of FRBSA in educational settings but also emphasizes the importance of incorporating anti spoofing mechanisms to bolster the security of facial recognition-based attendance systems in the evolving landscape of biometric technologies.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 10
  • PageNo: 431-437

Facial Recognition Based Student Attendance with Anti Spoofing Mechanism

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