This research aims to incorporate biometric fingerprint authentication into an automated student attendance system that uses individual fingerprint minutiae features to effectively manage students' attendance at Bangladesh's Jatiya Kabi Kazi Nazrul Islam University's Computer Science and Engineering department. After the student's biometric fingerprint enrolment and authentication, attendance was recorded in this study. Using minutiae features, an authentication system based on fingerprint recognition was created for automatic student identification. Fingerprint minutiae features are thought to be the best and quickest biometric identification method. These minor details are more secure to utilise and are unique to each individual and do not alter over time. Although fingerprint identification is a mature field today, identifying individuals from a pool of enrolled fingerprints is a lengthy procedure. As a result, it's critical to increase fingerprint recognition accuracy and scale it up to big databases (e.g., an institute or organization). The fingerprint minutiae-based technique was employed to create the authentication system in this study. The suggested fingerprint recognition-based automated attendance system was tested on a set of student fingerprint datasets. It was successful in capturing the attendance of students from the Department of Computer Science and Engineering. The proposed system was created with the C# programming language.
Author
(S) Details
Md. Mijanur Rahman
Department
of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University,
Bangladesh.
View Book:- https://stm.bookpi.org/NVST-V4/article/view/4002
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