Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Face Recognition based on Convolutional Neural Network
View through CrossRef
Recognition holds great significance to give biometric authentications that are utilized in various applications particularly in attendance and security. A gathered database of the subjects is converted applying image processing methods to make this task. This paper suggests a cascade object detector based face detection and convolutional neural network alexnet based face recognition that can recognize the faces. The techniques used for face recognition are machine learning-based methods because of their great precision as associated with different methods. Face detection is the initial level before face recognition that is done utilizing a cascade object detector classifier. Face recognition is performed utilizing Deep Learning's sub-field that is Convolutional Neural Network (CNN). It is a multi-layer network which is used to train the network, to perform a particular task using classification. Check learning of a trained CNN model that is AlexNet is used for face recognition.
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Title: Face Recognition based on Convolutional Neural Network
Description:
Recognition holds great significance to give biometric authentications that are utilized in various applications particularly in attendance and security.
A gathered database of the subjects is converted applying image processing methods to make this task.
This paper suggests a cascade object detector based face detection and convolutional neural network alexnet based face recognition that can recognize the faces.
The techniques used for face recognition are machine learning-based methods because of their great precision as associated with different methods.
Face detection is the initial level before face recognition that is done utilizing a cascade object detector classifier.
Face recognition is performed utilizing Deep Learning's sub-field that is Convolutional Neural Network (CNN).
It is a multi-layer network which is used to train the network, to perform a particular task using classification.
Check learning of a trained CNN model that is AlexNet is used for face recognition.
Related Results
Critical information thresholds underlying concurrent face recognition functions
Critical information thresholds underlying concurrent face recognition functions
Abstract
Humans rapidly and automatically recognise faces on multiple different levels, yet little is known about how the brain achieves these ma...
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Increased life expectancy of heart failure patients in a rural center by a multidisciplinary program
Abstract
Funding Acknowledgements
Type of funding sources: None.
INTRODUCTION Patients with heart failure (HF)...
Face Detection and Recognition Method Based on Improved Convolutional Neural Network
Face Detection and Recognition Method Based on Improved Convolutional Neural Network
with rapid development of deep learning technology, face recognition based on deep convolutional neural network becomes one of the main research methods. In order to solve the prob...
Video Indexing through Human Faces by Combined Deep Learning Neural Networks
Video Indexing through Human Faces by Combined Deep Learning Neural Networks
This research aims to suggest an algorithm that uses the human face as a cue for detecting faces and recognition from input video. Face recognition has become popular because it ha...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Research on End-to-end Voiceprint Recognition Model Based on Convolutional Neural Network
Research on End-to-end Voiceprint Recognition Model Based on Convolutional Neural Network
Speech signal is a time-varying signal, which is greatly affected by individual and environment. In order to improve the end-to-end voice print recognition rate, it is necessary to...
Research on SAR Image Target Recognition Based on Convolutional Neural Network
Research on SAR Image Target Recognition Based on Convolutional Neural Network
Abstract
A synthetic aperture radar (SAR) automatic target recognition can effectively improve the utilization efficiency of SAR image data. In order to improve the ...
A classification method of underwater target radiated noise signals based on enhanced images and convolutional neural networks
A classification method of underwater target radiated noise signals based on enhanced images and convolutional neural networks
As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly...