Results 11 to 20 of about 1,466 (208)

Ghost Module-Enhanced MTCNN: A Lightweight Cascade Framework for High-Accuracy Face Detection in Edge-Deployable Scenarios

IEEE Access
Face detection in complex environments remains challenging due to trade-offs between accuracy and computational efficiency, particularly for edge devices with limited resources. GhostNet-MTCNN is proposed.
Chen Wang, Fen Liu
doaj   +2 more sources

FACIAL DETECTION IN COMPUTER VISION: BRIDGING GAP BETWEEN CNN, HAAR CASCADE AND MTCNN [PDF]

Proceedings on Engineering Sciences
Face detection is a crucial task in various applications, including face recognition, facial expression analysis, face tracking, and head-pose estimation, spanning fields such as transport, health, and education.
Nipun Singhal , Nidhi Gupta , Ajay Kumar Singh   +2 more
doaj   +2 more sources

Comparative Analysis of MTCNN and Haar Cascades for Face Detection in Images with Variation in Yaw Poses and Facial Occlusions

Journal of Communications Software and Systems
As computer vision and machine learning advance, face detection has become a major focus. Face recognition has several methods and models. Every implementation starts with face detection.
Omer Abdulhaleem Naser, Sharifah Mumtazah, Khairulmizam Samsudin, Marsyita Hanafi, Siti Mariam Binti, Nor Zarina Zamri   +5 more
doaj   +2 more sources

Analysis of the Use of MTCNN and Landmark Technology to Improve the Accuracy of Facial Recognition on Official Documents

Journal of Applied Informatics and Computing
A face recognition system consists of two stages: face detection and face recognition. Detection of features such as eyes and mouth is important in facial image processing, especially for official documents such as identity cards.
Ferri Rama Chandra, Hajra Rasmita Ngemba, Odai Amer Hamid, Nouval Trezandy Lapatta, Syaiful Hendra, Deny Wiria Nugraha, Syahrullah Syahrullah   +6 more
doaj   +2 more sources

Face Recognition Using MTCNN Face Detection, ResNetV1 Feature Embeddings, and SVM Classification

Journal of Applied Informatics and Computing
Face recognition has become an essential component of modern security and authentication systems, yet its effectiveness is often challenged by limited datasets, class imbalance, variations in facial poses, lighting conditions, and image resolutions. This
Ivan Putra Pratama, Novita Kurnia Ningrum   +1 more
doaj   +2 more sources

Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition

Technologies
Face recognition systems typically face actual challenges like facial pose, illumination, occlusion, and ageing that significantly impact the recognition accuracy.
Sasan Karamizadeh, Saman Shojae Chaeikar, Hamidreza Salarian   +2 more
doaj   +2 more sources

Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50

Sukkur IBA Journal of Emerging Technologies
In today's rapidly evolving world, where technology is progressing swiftly, there is an increasing demand for facial recognition systems. Technologies are similar to digital forensics in that they can recognize people by scanning faces. However, one key
Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf   +4 more
doaj   +2 more sources

Implementasi MTCNN dan Transfer Learning Model DeepFace untuk Prediksi Kepribadian Berbasis Video

Techno.Com
Kepribadian adalah aspek penting yang mempengaruhi pilihan hidup, karir, kinerja, kesehatan, dan juga preferensi atau keinginan seseorang. Model Big-Five Personality adalah yang paling umum, namun pengukurannya masih secara konvensional melalui kuesioner,
Shandy Ilham Alamsyah, Salamun Rohman Nudin   +1 more
doaj   +2 more sources

Face Authentication using MTCNN and FaceNet

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Advancements in facial recognition are on the rise after the recent breakthroughs in deep learning technologies and the extensive training datasets. But still, the practical application of facial recognition for authentication purposes faces some difficulties and problems when dealing with variations that are observed in real-world scenarios,
Anjali Pandit, Ritesh Nikalje, Neha Vishwakarma, Vaishnavi Vishwasrao, Prof. Trupti Khose   +4 more
openaire   +1 more source

Real-Time Face Recognition Civil Servant Presence System Using DNN Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
Facial recognition has become a growing topic among Computer Vision researchers because it can solve real-life problems, including during the COVID-19 pandemic.
Yogi Angga Putra, Imelda Imelda
doaj   +1 more source