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

  • Wardana Bayu
  • Soni soni

Abstract

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

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Published
2020-01-30
Abstract views: 45 , PDF (Bahasa Indonesia) downloads: 116