Biometric System Based on Neural Network for Efficient Management of Academic Attendance

Abstract

The system developed in this paper aimed to design a student attendance system that could effectively manage the academic presence in Romanian universities. In the proposed system, the identification of students take place through fingerprints that provide a high level of uniqueness due to the fact that there cannot exist two individuals with the same fingerprint. The system consists of the following five key components: (1) a MySQL data base for storing all data, (2) Xamarin.Mac desktop application used to register students and teachers in the database, (3) a NodeJS web application for live viewing of attendance records, (4) a Nodejs server responsible for the fingerprint matching algorithm, and (5) two Arduino prototypes with fingerprint modules used to record students and attendance in the system.