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Deep Learning-Based Automatic Student Authentication

Deep Learning-Based Automatic Student Authentication

Sheetalrani R. Kawale, Swetha K. R., Swathi Pai M., Namitha A. R., Dankan Gowda V.
Copyright: © 2022 |Pages: 18
ISBN13: 9781668445587|ISBN10: 1668445581|ISBN13 Softcover: 9781668445594|EISBN13: 9781668445600
DOI: 10.4018/978-1-6684-4558-7.ch010
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MLA

Kawale, Sheetalrani R., et al. "Deep Learning-Based Automatic Student Authentication." Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks, edited by Alex Noel Joseph Raj, et al., IGI Global, 2022, pp. 219-236. https://doi.org/10.4018/978-1-6684-4558-7.ch010

APA

Kawale, S. R., K. R., S., M., S. P., A. R., N., & V., D. G. (2022). Deep Learning-Based Automatic Student Authentication. In A. Raj, V. Mahesh, R. Nerssison, A. Yu, & J. Gentry (Eds.), Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks (pp. 219-236). IGI Global. https://doi.org/10.4018/978-1-6684-4558-7.ch010

Chicago

Kawale, Sheetalrani R., et al. "Deep Learning-Based Automatic Student Authentication." In Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks, edited by Alex Noel Joseph Raj, et al., 219-236. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-4558-7.ch010

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Abstract

Classroom management relies heavily on the ability to keep track of student attendance. Attendance checks by calling names or handing out a sign-in sheet are time-consuming and vulnerable to fraud, especially the latter. Data science and image processing are the focus of this regarding counting the number of people present at a gathering for various objectives, such as determining a person's duty status, determining a person's physical presence in a classroom, determining a person's security clearance to enter a meeting hall, etc. It takes a lot of time and effort to maintain a database for future use when generating attendance records using the standard technique. With the help of the latest technology, attendance can be entered automatically. It is a frequently used face recognition technique that generates a binary code for each cell and compares it to the reference image. With the use of deep learning, this LBP method has been reworked in order to automate attendance generation.

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