Study on Introducing Biometric Fingerprint Authentication in Automated Student Attendance System

This study aims to introduce biometric fingerprint authentication in an automated student attendance system using individual fingerprint minutiae features, which could effectively manage students' attendance of the Computer Science and Engineering department at Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. In this study, attendance was marked after the student's biometric fingerprint enrollment and verification. For automatic student identification, an authentication system based on fingerprint recognition was done by using minutiae features. Fingerprint minutiae features are considered to be the best and fastest method for biometric identification. These minutiae features are more secure to use and unique for every person that doesn't change in one's lifetime. Fingerprint recognition is a mature field today, but identifying individuals from a set of enrolled fingerprints is a time-consuming process. Thus, it is necessary to improve fingerprint identification accuracy and implement it on large databases (e.g., an institute or organization). In this work, the fingerprint minutiae-based algorithm was used to develop the authentication system. The proposed automated attendance system using fingerprint recognition was tested on a class of student fingerprint databases. It achieved significant results for taking attendance of the Department of Computer Science and Engineering students. The proposed system has been implemented using the C# programming platform.