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All Journal Techno.Com: Jurnal Teknologi Informasi BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) IJID (International Journal on Informatics for Development) Jurnal Informatika dan Rekayasa Elektronik Jurnal Riset Rekayasa Elektro JISA (Jurnal Informatika dan Sains) International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Applied Business and Information Systems TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Fidelity : Jurnal Teknik Elektro Jurnal Informatika Teknologi dan Sains (Jinteks) Medika Trada Journal of Scientific Research, Education, and Technology
Rodhiyah Mardhiyyah
Universitas Teknologi Yogyakarta
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : JurTI (JURNAL TEKNOLOGI INFORMASI)

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Deteksi Wajah Berbasis Facial Landmark Menggunakan OpenCV Dan Dlib RR Puji Hajar Sejati; Rodhiyah Mardhiyyah
(JurTI) Jurnal Teknologi Informasi Vol 5, No 2 (2021): DESEMBER 2021
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v5i2.2220

Abstract

Computer science and information technology have advanced in a variety of sectors that were previously unachievable due to constraints such as hardware. Computer vision can be used to recognize an object using computer science. Objects can be recognized by taking or recording photos or videos and then processing them using specific tools and methodologies. The goal of the facial landmark-based face detection research using OpenCV and Dlib is to perform face detection in people so that it can be used for a variety of purposes in the future. The strategy employed in this study was the usage of facial landmarks using OpenCV and Dlib to improve face detection accuracy. Face detection has been effectively carried out based on facial landmark points, according to the findings of testing the entire system. Face landmark-based face detection is more accurate using the OpenCV Dlib, which can be seen during processing in the OpenCV Dlib, which can precision photos based on facial movements.
Co-Authors Abadi, Anis Susila Abdul Haris Kuspranoto Adelia Octora Pristisahida Ahmad Syaifudin Al Firdaus, Muhammad Rafi Alfatih, Muhammad Fa’iz Ali Habibie, Raihan Ghifari Amiyanto, Totok Sarwi Aryanto, Putri Marceliana Asbara, Muhammad Jaohar Bayu Ari Pratama Bledug Kusuma Darmayoga, I Nyoman Devi Ratnasari Evodi, Gabriel Jevon Fadil Indra Sanjaya Fakhrurrozi, Akhmad Fauzi, Yoga Dwi Rizki Haaerun, Hazim Althaf Hayati, Nuvita Nur Heni Pujiastuti Hidayat, Rizki Indriaswari, Raden Ayu Janica Rahmaditha Junanda, David Bagus Ma'arif, Restu Sofyan Machfud, Achmad Agim Nur Istiqomah Nuryadi, Satyo Prasetya, R. Imam Budi Pratiwi, Chyntia Elsa Salsabilla, Nazwa Aila Subrata, Febrina Cinta Syuhada, Arya Firgi Tamam, Muhammad Mundzir Taruno, Restiadi Bayu Tri Kusuma, Muh Indra Utomo, Ragil Gigih Van Bawono, Maganda Jannati Yakti, Ikhwan Kuncoro Yana Hendriana Zul, Zulkhairi Zulkhairi Zulkhairi Sofyan