Biometrics based attendance checking using Principal Component Analysis

In recent years, there have been very promising applications of biometric systems to improve access control systems and security of data recording. Of all the biometric systems available, fingerprint verification is the most dominant in commercial application due to its excellent performance and low cost. In this study, it is attempted to implement a fingerprint and face detection and recognition biometrics system for the professors' attendance management thus replacing the current manual system. Proposed system provides faculty face recognition using Viola-Jones Face Detection Method and Principal Component Analysis (PCA) integrated with fingerprint verification using Arduino. Test results improved attendance system accuracy and automate faculty attendance system.