Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Novel Engineering Science and Technology

Comparison of Multi-Face Detection Performance on Images Using Haarcascade, Dlib, and RetinaFace Saputra, Sabarudin; Jufriansah, Adi; Mu’min, Muhammad Amirul; Akbar, Muhammad; Jayanto, Deni Luvi; Hernita, Ayu
Journal of Novel Engineering Science and Technology Vol. 4 No. 03 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i03.1134

Abstract

Multi-face detection presents a significant challenge in computer vision, especially in environments with limited hardware resources. This study compares the performance of three multi-face detection methods—Haarcascade, Dlib (HOG and CNN), and RetinaFace—using a subset of the WIDER FACE dataset in a CPU-only environment without GPU acceleration. The experiment was conducted in two stages using a total of 300 images from the WIDER FACE dataset, which reflect real-world variations such as pose, scale, illumination, expression, and occlusion. Performance evaluation was carried out using precision, recall, F1-score, accuracy, and processing time as metrics. The results show that RetinaFace consistently outperforms the other methods, achieving superior metrics in Recall (0.92), F1-score (0.93), and Accuracy (0.88) on Subset A, and leading across all metrics on Subset B. While Dlib-CNN demonstrates high detection performance, it suffers from very slow processing time. In contrast, Haarcascade delivers the fastest processing speed but performs poorly in terms of evaluation metrics. The experiments also reveal that RetinaFace is the most consistent and reliable method based on standard deviation values of precision (0.01), recall (0.11), F1-score (0.07), and accuracy (0.11). Overall, this study contributes valuable insights for selecting efficient face detection methods under constrained resource conditions.
Co-Authors Abhiseka, Rengga Bagas Adi Jufriansah Adi Laksono Afiyah Rifkha Rahmika An-nisa, Qotrunnada Fairuz Syifa Anisa Yulandari Anita Ahmad Kasim Aphrodita, Mayang Hawwin Ardila, Ninda Mulya Ike Arshy Prodyanatasari Arsy, Salsa Al Avrileta, Noryfumi Cinta Ayu Hernita Bakri Bawias, Juan Sebastian Caesario Christabella Nafthalia Wardhani Diana, Dwi Ervi dr. AG Nugroho Pudji Lestarjo Dwi Shinta Angreni Dwi, Titania Ekawati Wasis Wijayati Endah Retnani Wismaningsih Erlina, Tita Ervan Aditya Wirawan Eva Firdayanti Bisono Eva Firdayanti Bisono Fadel, Mohamed Fal Mohamed Fatmawati, A’yuni Nur Fery Eko Pujiono, Fery Eko Fery Pujiono Herfin, Melky Hidayat, Andra Dwitama Ilahi, Nasywa Shifi Indah Susilowati Krisnita Dwi Jayanti Krisnita Dwi Jayanti Krisnita Dwi Jayanti Kurniasari, Mia Ashari Mardiana Prasetyani Putri Mariani Mariani Mia Ashari Kurniasari Mohamed Fal Mohamed Fadel Mohammad Bayu Dwi Saputro Muhammad Akbar Muhammad Atnang Muhammad Mutafanninun Mukti Lestari, Tri Mulya Ike Ardila, Ninda Mu’min, Muhammad Amirul Nadya Izzaty Maulana Nadya Vira Mahmuna Nimatu Zuliana Ninda Mulya Ike Ardila Ni’matu Zuliana Ni’matu Zuliana Nouval Trezandy Lapatta Nu'man NURHADI Nurhadi Nurhadi Nurhadi Nurhadi Nurhadi Poonwong, Prakasit Prakasit Poonwong Priyadi, Amanda Agustyaningrum Putri, Alfira Maudy Sukmaning Qurotuaini, Zhalwa Anggoro Rachmadani, Muhammad Nasza Rahmadi, Nadifatul Rama Wahyu Susilo Putra Ramadhani, Anggun Berliana Putri Rinianty, Rinianty Risa Helilintar Roma Firmansyah Sabarudin Saputra Saputra, Ferdinand Ghalib Saputri, Della Anfa Saruman, Alim Surya Sri Khaerawati Nur Sri Nurcahyati Surti Suharlikah Thohir, Rizqina Salma Tajja Aziza Tri Ana Ana Mulyati Tri Ana Mulyati, Tri Ana Tri Mukti Lestari Vicky Bin Djusmin Vicky Bin Djusmin Vicky Djusmin Wahyu Putra Alfiansyah Wirdayanti Yanuar, Ragilang Gema Zidan Jihad Muhammad Zuliana, Ni'matu Zuliana, Ni’matu