(PDF) A Review Paper on Face Recognition Techniques
(DOC) Face Recognition from a Single Training Sample per Person Using a
(PDF) Study of Face Recognition Techniques: A Survey
(PDF) Frontal View Human Face Detection and Recognitionsumitha/papers
(PDF) Face detection and Recognition: A review
(PDF) Face recognition from single sample based on human face
COMMENTS
A Face Recognition Method Using Deep Learning To Identify ...
unified and diverse dataset that can be used to evaluate both face mask detection and masked facial. recognition. For this purpose, they also developed a largescale and diverse unified mask detection and masked facial recognition (MDMFR) dataset to measure the performance of both the face.
(PDF) Face Recognition: A Literature Review - ResearchGate
This paper provides an up-to-date review of major human facerecognitionresearch. We first present an overview of face recognition and its applications. Then, a literature review of the...
Face Recognition: An Engineering Approach - San Jose State ...
Facerecognition has been an active area of research in the past several decades. Initially a branch of artificial intelligence to enable robots with visual perception, it is now part of a more general and larger discipline of computer vision.
DEEP LEARNING FOR FACE RECOGNITION: A CRITICAL ANALYSIS
Facerecognition is a rapidly developing and widely applied aspect of biometric technologies. Its applications are broad, ranging from law enforcement to consumer applications, and industry efficiency and monitoring solutions.
(PDF) Face Recognition and Face Detection Benefits and ...
This research paper examined 60 years of facerecognition history and highlighted the difference between face detection and facerecognition. The benefits and challenges of using a...
(PDF) DEVELOPMENT OF A FACE RECOGNITION SYSTEM - ResearchGate
A facerecognition system is designed, implemented and tested in this thesis study. The system utilizes a combination of techniques in two topics; face detection and recognition. The face...
Design and Evaluation of a Real-Time Face Recognition System ...
In this paper, design of a real-time face recognition using CNN is proposed, followed by the evaluation of the system on varying the CNN parameters to enhance the recognition accuracy of the system. An overview of proposed real-time face recognition system using CNN is shown in Fig. 1.
Full article: Human face recognition based on convolutional ...
To deal with the issue of human facerecognition on small original dataset, a new approach combining convolutional neural network (CNN) with augmented dataset is developed in this paper. The original small dataset is augmented to be a large dataset via several transformations of the face images.
Face Detection Research Paper - arXiv.org e-Print archive
Zhang et al. [9] use multi-undertaking CNN to enhance the accuracy of multi-view face detection, but the detection accuracy is restrained using the preliminary detection home windows produced through a weak face detector.
A Proposed novel approach to face recognition using CNN
This work is a comprehensive study of facialrecognition techniques leveraging Convolutional Neural Networks (CNN), which is a class of deep learning models known for their exceptional performance in image processing tasks.
IMAGES
COMMENTS
unified and diverse dataset that can be used to evaluate both face mask detection and masked facial. recognition. For this purpose, they also developed a largescale and diverse unified mask detection and masked facial recognition (MDMFR) dataset to measure the performance of both the face.
This paper provides an up-to-date review of major human face recognition research. We first present an overview of face recognition and its applications. Then, a literature review of the...
Face recognition has been an active area of research in the past several decades. Initially a branch of artificial intelligence to enable robots with visual perception, it is now part of a more general and larger discipline of computer vision.
Face recognition is a rapidly developing and widely applied aspect of biometric technologies. Its applications are broad, ranging from law enforcement to consumer applications, and industry efficiency and monitoring solutions.
This research paper examined 60 years of face recognition history and highlighted the difference between face detection and face recognition. The benefits and challenges of using a...
A face recognition system is designed, implemented and tested in this thesis study. The system utilizes a combination of techniques in two topics; face detection and recognition. The face...
In this paper, design of a real-time face recognition using CNN is proposed, followed by the evaluation of the system on varying the CNN parameters to enhance the recognition accuracy of the system. An overview of proposed real-time face recognition system using CNN is shown in Fig. 1.
To deal with the issue of human face recognition on small original dataset, a new approach combining convolutional neural network (CNN) with augmented dataset is developed in this paper. The original small dataset is augmented to be a large dataset via several transformations of the face images.
Zhang et al. [9] use multi-undertaking CNN to enhance the accuracy of multi-view face detection, but the detection accuracy is restrained using the preliminary detection home windows produced through a weak face detector.
This work is a comprehensive study of facial recognition techniques leveraging Convolutional Neural Networks (CNN), which is a class of deep learning models known for their exceptional performance in image processing tasks.