SISTEM ABSENSI BERBASIS PENGENALAN WAJAH (FACE RECOGNITION) MENGGUNAKAN METODE EIGENFACE

Face recognition is an important research field today. The application of face recognition in this final project isfor lecture attendance. Problems that arise due to the use of ledgers in FASILKOM IT - UMRI are thesafekeeping of signatures so that absences occur fraud, the application of attendance lectures using faces can bethe solution. Based on several methods that have been studied the author wants to design and develop anattendance system through one of the face recognition methods which has quite good accuracy based on severalprevious studies, PCA (Principle Component Analysis) or often called Eigenfaces this is a multifunctionalmethod used, because Eigenfaces have many functions especially in face recognition such as being able to makepredictions, erase redundancy, data compression, dimension reduction, until feature extraction that has beenincorporated in OpenCV so that the author uses eigenfaces method as a method to be used in developing realtimeattendance systems in face recognition by adding methods for face detection so that faces can be detected inrealtime