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All Journal ComEngApp : Computer Engineering and Applications Journal JTEV (Jurnal Teknik Elektro dan Vokasional Emitor: Jurnal Teknik Elektro Annual Research Seminar JURNAL NASIONAL TEKNIK ELEKTRO Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Dinamisia: Jurnal Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat JTT (Jurnal Teknologi Terapan) Jurnal Generic Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Rekayasa elektrika ABDIKOM
Kemahyanto Exaudi
Universitas Sriwijaya
Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

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Robot Vision Pattern Recognition of the Eye and Nose Using the Local Binary Pattern Histogram Method Ahmad Zarkasi; Huda Ubaya; Kemahyanto Exaudi; Alif Almuqsit; Osvari Arsalan
Computer Engineering and Applications Journal Vol 12 No 3 (2023)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v12i3.444

Abstract

The local binary pattern histogram (LBPH) algorithm is a computer technique that can detect a person's face based on information stored in a database (trained model). In this research, the LBPH approach is applied for face recognition combined with the embedded platform on the actuator system. This application will be incorporated into the robot's control and processing center, which consists of a Raspberry Pi and Arduino board. The robot will be equipped with a program that can identify and recognize a human's face based on information from the person's eyes and nose. Based on the results of facial feature identification testing, the eyes were recognized 131 times (87.33%), and the nose 133 times (88.67%) out of 150 image data samples. From the test results, an accuracy rate of 88%, the partition rate of 95.23%, the recall of 30%, the specificity of 99%, and the F1-Score of 57.5% were obtained.
Co-Authors Abdul Wahid Sempurna Abdul Wahid Sempurna Abdul Wahid Sempurna Abdurahman Adi Hermansyah Aditya P.P Prasetyo Aditya PPP Aditya Putra Perdana Prasetyo Ahmad Fali Oklilas Ahmad Rifai Ahmad Zarkasi Alif Almuqsit Bagus Prasetyo Bangun Sudrajat Bangun Sudrajat Brema Alfaretz Tarigan Dedy Kurniawan Desyandri Desyandri Dody Firmansyah Fatimah, Sayyidatina Hadir Kaban Hanung Adi Nugroho Huda Ubaya Huda Ubaya Izzati Millah Hanifah Jorena Jorena Komang Mita Sari M. Dimas Firmansyah Monica Ayu Amaria Muhammad Ajran Saputra Nabillah Selva Setiawan Osvari Arsalan Prasetyo, Aditya P.P. Prasetyo, Aditya Putra Perdana Purwita Sari R Rendyansyah Rahmad Fadli Isnanto Rahmat Fadli Isnanto Rendyansyah Rendyansyah Rendyansyah Rendyansyah Rendyansyah Rido Zulfahmi Rossi Passarella Roswitha Yemima Tiur Mediswati Sarmayanta Sembiring Sarmayanta Sembiring Sayyidatina Fatimah Sri Desy Siswanti Sri Desy Siswanti Sry Desy Siswanti Sutarno Sutarno Tharisa Antya Perdani Tri Wanda Septian, Tri Wanda Wahyu Gunawan