WITHDRAWN: Automatic attendance monitoring system using facial recognition through feature-based methods (PCA, LDA)
2021; Elsevier BV; Linguagem: Inglês
10.1016/j.matpr.2021.01.517
ISSN2214-7853
AutoresS. Karthick, S. Selvakumarasamy, C. Arun, Pratik Agrawal,
Tópico(s)Face recognition and analysis
ResumoAttendance monitoring is a vital task in any organisation. Attendance data helps keep track of the absenteeism of any employee/student. But, manual attendance is a tedious task, consumes a lot of time, and the data is not in a proper format. This project can be a saviour for faculties and institutes. The system uses facial detection through Haarcascades and facial recognition using feature-based methods, namely - PCA and LDA. PCA uses a statistical approach to reduce the number of variables used in face recognition. LDA finds the linear combination of features while preserving class separability. A comparison between the two algorithms is made on the basis of their performance on the Olivetti dataset.
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