Results 11 to 20 of about 982 (204)

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

open access: yesJournal 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   +6 more
doaj   +2 more sources

Design and Development of Student Attention System using Face Recognition Based on MTCNN and FaceNet [PDF]

open access: yesJurnal Jaringan Telekomunikasi, 2023
Employees use their level of attendance or absence to demonstrate their presence at work or absence from it in an agency. This absence is connected to how discipline is applied, which is decided by each organization or institution.
Moch. Maulana Andhika Candra   +2 more
doaj   +3 more sources

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

open access: yesJournal 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   +1 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

open access: yesJournal 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   +5 more
doaj   +2 more sources

Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50

open access: yesSukkur 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   +4 more
doaj   +2 more sources

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

open access: yesTechno.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   +1 more
doaj   +2 more sources

Face Authentication using MTCNN and FaceNet

open access: yesInternational 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   +4 more
openaire   +1 more source

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

open access: yesIJCCS (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

Gamma Effect in Face Detection Methods [PDF]

open access: yesSVU-International Journal of Engineering Sciences and Applications, 2023
A face detection could be a technology capable of find a person's face in image or video frame. Face detection is one in all the foremost widely used computer vision applications.
Mohamed Abdel-Nasser   +2 more
doaj   +1 more source

Intelligent masked-person detection system for epidemic prevention and control [PDF]

open access: yesMATEC Web of Conferences, 2021
In order to control the epidemic and complete the supervision of increasing population, we devised a kind of face detection system. This system detected face with MTCNN and then it detect whether the person wears the mask with MobileNet.
Zhou Yizhuo   +5 more
doaj   +1 more source

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