Automatic face recognition in real time

This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained...

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Main Author: Lew, Wei Chao
Other Authors: Andy Khong W H
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139459
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1394592023-07-07T15:40:45Z Automatic face recognition in real time Lew, Wei Chao Andy Khong W H School of Electrical and Electronic Engineering andykhong@ntu.edu.sg Engineering::Electrical and electronic engineering This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained and improved. Following which, the report will cover the method of preparing training samples. Additionally, this report will cover the pros and cons of each face recognition and speech to text technology used in creating this project. Finally, it will cover the pipeline and results of this project as well as the future work that can be carried out to improve the project. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-19T09:20:27Z 2020-05-19T09:20:27Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139459 en A3022-191 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Lew, Wei Chao
Automatic face recognition in real time
description This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained and improved. Following which, the report will cover the method of preparing training samples. Additionally, this report will cover the pros and cons of each face recognition and speech to text technology used in creating this project. Finally, it will cover the pipeline and results of this project as well as the future work that can be carried out to improve the project.
author2 Andy Khong W H
author_facet Andy Khong W H
Lew, Wei Chao
format Final Year Project
author Lew, Wei Chao
author_sort Lew, Wei Chao
title Automatic face recognition in real time
title_short Automatic face recognition in real time
title_full Automatic face recognition in real time
title_fullStr Automatic face recognition in real time
title_full_unstemmed Automatic face recognition in real time
title_sort automatic face recognition in real time
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/139459
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