Automated Attendance using Face Recognition based on PCA with Artificial Neural Network

Automated attendance management system using face recognition is a smart way of marking attendance which is more secure and time efficient as compared to already existing attendance systems. In our work we propose an automated attendance management system. This system automatically detects the student when he enters the class room and marks the attendance by recognizing his face. A threshold value is set so that the faces which did not match with those faces which are stored in database can be rejected. The global feature extraction is done using PCA which is based on calculating eigenface and the detection part is done using feed forward Artificial Neural Networks with back propagation algorithm.