Face Recognition Attendance Systems: A Comprehensive Review of Techniques
Published: 2024
Author(s) Name: Charu Vaibhav Verma, Rani Meliwal, Radhika Gurjar, Nishika Choudhary, Prachi Malviya |
Author(s) Affiliation: PIEMR (RGPV, Bhopal), Indore, Madhya Pradesh, India.
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Abstract
This research paper illustrates about how to manage attendance using a new method that combines face detection techniques together with Python programming as well as machine learning methods among others; which are CNN models. The paper gives details on data collection methods as well as pre-processing methods other than explaining the architecture of CNN. According to the results obtained from its experiments it could be concluded that this system is capable of accurately identifying individuals and recording their presence or absence thus may contribute to increasing productivity in schools, businesses, or other organisations.
Keywords: Face Detection, Machine Learning, CNN, Attendance System, Face Recognition, LBPH Algorithm, Grayscale, Biometric
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