Face Recognition using Deep Learning and TensorFlow framework

Detecting human faces and recognizing faces and facial expressions have always been an area of interest for different applications such as games, utilities and even security. With the advancement of machine learning, the techniques of detection and recognition have become more accurate and precise...

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Main Author: Makrem Beldi
Format: Article
Language:English
Published: Lublin University of Technology 2023-12-01
Series:Journal of Computer Sciences Institute
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Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/3802
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author Makrem Beldi
author_facet Makrem Beldi
author_sort Makrem Beldi
collection DOAJ
description Detecting human faces and recognizing faces and facial expressions have always been an area of interest for different applications such as games, utilities and even security. With the advancement of machine learning, the techniques of detection and recognition have become more accurate and precise than ever before. However, machine learning remains a relatively complex field that could feel intimidating or inaccessible to many of us. Luckily, in the last couple of years, several organizations and open-source communities have been developing tools and libraries that help abstract the complex mathematical algorithms in order to encourage developers to easily create learning models and train them using any programming languages. As part of this project, we will create a Face Detection framework in Python built on top of the work of several open-source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition.
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institution Kabale University
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publisher Lublin University of Technology
record_format Article
series Journal of Computer Sciences Institute
spelling doaj-art-171977f67c3e40f98ca4419c4fadd95b2025-02-02T18:03:01ZengLublin University of TechnologyJournal of Computer Sciences Institute2544-07642023-12-012910.35784/jcsi.3802Face Recognition using Deep Learning and TensorFlow frameworkMakrem Beldi0The National Engineering School of Tunis or ENIT, Tunisia Detecting human faces and recognizing faces and facial expressions have always been an area of interest for different applications such as games, utilities and even security. With the advancement of machine learning, the techniques of detection and recognition have become more accurate and precise than ever before. However, machine learning remains a relatively complex field that could feel intimidating or inaccessible to many of us. Luckily, in the last couple of years, several organizations and open-source communities have been developing tools and libraries that help abstract the complex mathematical algorithms in order to encourage developers to easily create learning models and train them using any programming languages. As part of this project, we will create a Face Detection framework in Python built on top of the work of several open-source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition. https://ph.pollub.pl/index.php/jcsi/article/view/3802FaceRecognitionFaceDetectionTensorFlowCNN
spellingShingle Makrem Beldi
Face Recognition using Deep Learning and TensorFlow framework
Journal of Computer Sciences Institute
FaceRecognition
FaceDetection
TensorFlow
CNN
title Face Recognition using Deep Learning and TensorFlow framework
title_full Face Recognition using Deep Learning and TensorFlow framework
title_fullStr Face Recognition using Deep Learning and TensorFlow framework
title_full_unstemmed Face Recognition using Deep Learning and TensorFlow framework
title_short Face Recognition using Deep Learning and TensorFlow framework
title_sort face recognition using deep learning and tensorflow framework
topic FaceRecognition
FaceDetection
TensorFlow
CNN
url https://ph.pollub.pl/index.php/jcsi/article/view/3802
work_keys_str_mv AT makrembeldi facerecognitionusingdeeplearningandtensorflowframework