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For academic and non-academic organisations, taking attendance is one of the most important tasks that must be recorded and monitored on a regular basis. The majority of the time, it is done manually, by calling or recording in an attendance register. The framework proposes enrolment registration automation, with maximum human involvement. The system integrates facial recognition and fingerprint authentication to streamline the attendance registration process and improve time management efficiency. An individual has to register both their face in front of the camera and their finger on the biometric sensor. The amalgamation of both processes will help to reduce fraud and ensure the physical presence of a person for the day. The algorithm also justifies non-repudiation and transparency which is best suited for modernised attendance system.

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Authentication of Dual Biometric Attendance Monitoring Based on Machine Learning Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Aritra Ganguly,
  • Aryadeep Chakraborty,
  • Saikat Bose,
  • Anirban Goswami

摘要

For academic and non-academic organisations, taking attendance is one of the most important tasks that must be recorded and monitored on a regular basis. The majority of the time, it is done manually, by calling or recording in an attendance register. The framework proposes enrolment registration automation, with maximum human involvement. The system integrates facial recognition and fingerprint authentication to streamline the attendance registration process and improve time management efficiency. An individual has to register both their face in front of the camera and their finger on the biometric sensor. The amalgamation of both processes will help to reduce fraud and ensure the physical presence of a person for the day. The algorithm also justifies non-repudiation and transparency which is best suited for modernised attendance system.