DESIGN AND IMPLEMENTATION OF AN ELECTRONIC ATTENDANCE AND ADMITTANCE SYSTEM WITH FINGERPRINT AUTHENTICATION USING PATTERN MATCHING

• Oluwaseun Opeyemi Martinsa

  Federal University, Oye-Ekiti, Nigeria

• Muhammad Abdulhamid Mahdia

  Federal University, Oye-Ekiti, Nigeria

• David Tiwaloluwa Adegokea

  Federal University, Oye-Ekiti, Nigeria

• Olusola Esther Omoniyia

  Federal University, Oye-Ekiti, Nigeria

• Pius Benmoore Gabriela

  Federal University, Oye-Ekiti,

 In the modern digital landscape, the need for effective attendance management is becoming increasingly crucial, especially within educational and corporate environments. This research introduces the design and development of an electronic attendance and admittance system that harnesses fingerprint authentication, utilizing the precision of pattern-matching algorithms. The significance of this research is evident in its potential to bolster security measures, curtail potential fraudulent activities, and simplify administrative tasks, all of which are essential in today's fast-paced world. The study is anchored on three core objectives. First, it aims to adopt the pattern-matching method for fingerprint authentication. Second, the focus shifts to the actual design and integration of an electronic attendance and admittance system. Lastly, the research seeks to critically assess the system's operational efficiency and its reliability when applied in real-world contexts. A methodical approach defines the project's blueprint. At its heart, the system is structured around three pivotal modules: the enrollment phase, the authentication process, and a comprehensive database. Essential components include a scanner, raspberry Pi, OLED display, and communication modules for seamless data transfer. The database, crafted using SQLite3, is pivotal, acting as the repository for user templates and crucial attendance records. To gauge the system's performance and reliability, a suite of evaluation techniques were employed. These include metrics like the False Acceptance Rate (FAR) and False Rejection Rate (FRR). Initial findings are optimistic, hinting at the system's potential for widespread implementation across various sectors. After evaluation, the system results in an accuracy rate of 96%, FAR of 2%, and FRR of 4% which demonstrates robustness and reliability in real-world scenarios. Conclusively, this study shows the transformative potential of integrating biometrics into attendance systems and suggests avenues for future exploration.

1. Oluwaseun Opeyemi Martinsa, Federal University, Oye-Ekiti, Nigeria

   Department of Mechatronics Engineering

2. Muhammad Abdulhamid Mahdia, Federal University, Oye-Ekiti, Nigeria

   Department of Mechatronics Engineering

3. David Tiwaloluwa Adegokea, Federal University, Oye-Ekiti, Nigeria

   Department of Mechatronics Engineering

4. Olusola Esther Omoniyia, Federal University, Oye-Ekiti, Nigeria

   Department of Mechatronics Engineering

5. Pius Benmoore Gabriela, Federal University, Oye-Ekiti,

   Department of Mechatronics Engineering

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