Indonesia Rancang bangun aplikasi absensi mahasiswa menggunakan metode Viola Jhones algoritma HaarCascade di UIM

Design and Development of Student Attendance Application Using Viola-Jones Method and Haar Cascade Algorithm at UIM

  • Lukman Syahrul Gunawan Informatika, Teknik, Universitas Islam Madura, Madura, Indonesia
  • Busro Akramul Umam Informatika, Teknik, Universitas Islam Madura, Madura, Indonesia
  • Masdukil Makruf Informatika, Teknik, Universitas Islam Madura, Madura, Indonesia
DOI: https://doi.org/10.51747/energy.v13i1.1052

Abstract

Recognition of human facial images is one of the main technologies that continues to be developed. In the field of Computer Vision in its application in biometric recognition systems, search systems, indexing of digital video databases, limited area access control security systems, video conferencing, human-computer interaction. and so forth. The Viola-Jones method is an object detection method that has a fairly high accuracy of about 93.7% with a speed 15 times faster than the Rowley Baluja-Kanade detector and about 600 times faster than the Schneiderman-Kanade detector. The Haar Cascade Classifier algorithm is one of the algorithms used to detect a face. Cascade Classifier is used to record attendance with facial recognition which can record students in real-time.

Kata Kunci: face detection, OpenCV, Haar cascade

Published
2023-07-20
Issue
Vol 13 No 1 (2023): Jurnal Energy Vol. 13 No. 1 Mei 2023
Section
Articles