Development of IoT-Based Biometric Attendance System Using Fingerprint Recognition

This paper presents a system of IoT-based online attendance monitoring using fingerprint as biometric feature. It can eliminate fraudulent attendance problem faced by other attendance monitoring systems like RFID. Individual have to be present physically to register his or her attendance by giving own fingerprint impression. The system will also reduce problems such as keeping records in papers manually which can be lost or damaged easily. In the proposed method, firstly, fingerprints of the candidates have to be stored in a remote database through user interface using IoT. During verification, fingerprint sensor will check the impression of particular candidate with the pre-registered template, and the result will be shown in OLED display. Continuous assessment of attendance will be recorded in Web database which can be accessed by both candidate and admin. Leave management system works on request-approve method where the users can apply for pre-leave/post-leave of various types like EL, CL, ML, etc. Also, the system allows the admin to publish public notices that can be accessed even without login. Implementing this system in corporate will help the authority to keep track of the attendance of employees and to increase transparency to promote proficiency in work-culture.