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Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm
Currently, security systems use conventional security methods, which provide low levels of security. Therefore, some
organizations now use biometric-based security systems, which include facial recognition-based systems. However, processing…
organizations now use biometric-based security systems, which include facial recognition-based systems. However, processing…
Application of Deep Convolutional Generative Adversarial Networks to Generate Pose Invariant Facial Image Synthesis Data
Even though Artificial Intelligence is advancing, artificial intelligence can still find it difficult to solve problems that are easy
for humans to do but difficult for computers to describe, such as facial recognition. There are problems related…
for humans to do but difficult for computers to describe, such as facial recognition. There are problems related…
Real-Time Detection of Face Mask Using Convolutional Neural Network
avoid exposure to air pollution, and protect the face from the adverse effects of sunlight. However, many people are still
ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time…
ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards better performance: phase congruency based face recognition
Phase congruency is an edge detector and measurement of the significant feature in the image. It is a robust method against contrast and illumination variation. In this paper, two novel techniques are introduced for developing a low-cost human…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
PCA-based dimensionality reduction for face recognition
In this paper, we conduct a comprehensive study on dimensionality reduction (DR)
techniques and discuss the mostly used statistical DR technique called principal com-
ponent analysis (PCA) in detail with a view to addressing the classical face…
techniques and discuss the mostly used statistical DR technique called principal com-
ponent analysis (PCA) in detail with a view to addressing the classical face…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vision: a web service for face recognition using convolutional network
This paper proposes a face recognition module built as a web service.
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Face recognition based on curvelets, invariant moments features and SVM
Recent studies highlighted on face recognition methods. In this paper, a new algorithm is proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), which improves rate…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
New approach to the identification of the easy expression recognition system by robust techniques (SIFT, PCA-SIFT, ASIFT and SURF)
In recent years, facial recognition has been a major problem in the field
of computer vision, which has attracted lots of interest in previous years
because of its use in different applications by different domains and image analysis. Which is…
of computer vision, which has attracted lots of interest in previous years
because of its use in different applications by different domains and image analysis. Which is…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Neuro-fuzzy inference system based face recognition using feature extraction
Human face recognition (HFR) is the method of recognizing people in images or videos. There are different HFR methods such as feature-based, eigen-faces, hidden markov model and neural network (NN) based methods. Feature extraction or preprocessing…
Implementasi Face Recognition pada Absensi Kehadiran Mahasiswa Menggunakan Metode Haar Cascade Classifier
Face recognition is on of the biometric system that is most used today. The biometric system
with face recognition can be applied in the attendance process. Attendance is a very useful factor
for various purposes and is one of the most important…
with face recognition can be applied in the attendance process. Attendance is a very useful factor
for various purposes and is one of the most important…