Authors : Adwait Kotewar, Ashwin Falke, Devendra Thawari
DOI : 10.46335/IJIES.2024.9.6.5
Abstract—The old, ineffective techniques of measuring atten- dance are being replaced by newer, more advanced technologies. Face recognition based attendance system have become a cutting- edge and practical resolution to this problem. In order to expedite the process of taking attendance in business settings, educational institutions, and other organizations, this paper outlines the development and deployment of a facial recognition attendance system. Facial recognition, feature extraction, and face detection are some of the main parts of the system. Initially, methods like deep learning-based algorithms are used to detect faces from live camera. Following that, compact face feature extraction and representation are performed, frequently using techniques such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), or Convolutional Neural Networks (CNNs).
