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All Journal Jurnal Mantik Journal of Intelligent Decision Support System (IDSS) Journal Automation Computer Information System (JACIS) Jurnal Mandiri IT Journal Of World Science Jurnal Teknologi Sistem Informasi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Digital Business Jurnal Masyarakat Madani Indonesia
Arif, Zaenul
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences

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Journal : Journal of Intelligent Decision Support System (IDSS)

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Application of computer vision for face recognition using viola jones algorithm method Riyadi, Fajar Sugeng; Gunawan, Gunawan; Arif, Zaenul
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i1.204

Abstract

This research aims to develop a facial recognition system using computer vision technology by applying the Viola-Jones algorithm method. The main focus of this research is to improve accuracy and efficiency in face identification under various lighting conditions and face orientations. The Viola-Jones algorithm, known for its real-time object detection, was chosen for its efficiency in quickly identifying critical facial features. Through testing of various face datasets, the results showed that the system developed was able to recognize faces with a high level of accuracy, even in conditions of non-optimal lighting and various facial poses. The novelty of this research lies in the optimization of the parameters of the Viola-Jones algorithm to improve facial recognition performance, as well as its application in challenging dynamic environments. These findings make a significant contribution to the field of computer vision and facial recognition, offering more effective and efficient solutions for security and surveillance applications, as well as interactive applications that require fast and accurate facial identification.
Co-Authors Aang Alim Murtopo Agustina, Catur Puji Andriani, Wresti Ariyani, Rizki Bangkit Indarmawan Nugroho Farkhan, Ali Firmansyah, Akhmad Lutfi Firmansyah, Muchamad Aries Gunawan Gunawan Gunawan Gunawan Hafid Subechi, Fadlan Hassan, Muhamad Nur Januarto, Sigit Khasanah, Apriliani Maulidya Miftakhudin, Muhammad Nurokhman, Akhmad Riyadi, Fajar Sugeng Santoso, Nugroho Adh Sarif Surorejo Syefudin, Syefudin