Comparison of fingerprint and face recognition algorithms for online authentication

Password based authentication methods are considered to be the weakest link in the cyberworld. It is also the main reason for major data breaches round the world. Facial recognition and fingerprint-based authentication has been gaining traction and are also integrated into our everyday lives. In ord...

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Bibliographic Details
Main Author: Long, Shi Jun
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
PCA
Online Access:https://hdl.handle.net/10356/176772
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1767722024-05-24T15:42:50Z Comparison of fingerprint and face recognition algorithms for online authentication Long, Shi Jun Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Computer and Information Science Engineering PCA Fingerprint recognition Facial recognition Password based authentication methods are considered to be the weakest link in the cyberworld. It is also the main reason for major data breaches round the world. Facial recognition and fingerprint-based authentication has been gaining traction and are also integrated into our everyday lives. In order to supersede the current passwords with fingerprint or facial recognition systems, there is a need to analyse various algorithms and compare. This project will seek to better understand the prevalence of fingerprint and facial recognition algorithms, implement, compare, and evaluate the performance of these algorithms for online authentication in order to decide which of the two is the better form for biometric based online authentication. Bachelor's degree 2024-05-20T04:57:44Z 2024-05-20T04:57:44Z 2024 Final Year Project (FYP) Long, S. J. (2024). Comparison of fingerprint and face recognition algorithms for online authentication. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176772 https://hdl.handle.net/10356/176772 en A3126-231 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 Computer and Information Science
Engineering
PCA
Fingerprint recognition
Facial recognition
spellingShingle Computer and Information Science
Engineering
PCA
Fingerprint recognition
Facial recognition
Long, Shi Jun
Comparison of fingerprint and face recognition algorithms for online authentication
description Password based authentication methods are considered to be the weakest link in the cyberworld. It is also the main reason for major data breaches round the world. Facial recognition and fingerprint-based authentication has been gaining traction and are also integrated into our everyday lives. In order to supersede the current passwords with fingerprint or facial recognition systems, there is a need to analyse various algorithms and compare. This project will seek to better understand the prevalence of fingerprint and facial recognition algorithms, implement, compare, and evaluate the performance of these algorithms for online authentication in order to decide which of the two is the better form for biometric based online authentication.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Long, Shi Jun
format Final Year Project
author Long, Shi Jun
author_sort Long, Shi Jun
title Comparison of fingerprint and face recognition algorithms for online authentication
title_short Comparison of fingerprint and face recognition algorithms for online authentication
title_full Comparison of fingerprint and face recognition algorithms for online authentication
title_fullStr Comparison of fingerprint and face recognition algorithms for online authentication
title_full_unstemmed Comparison of fingerprint and face recognition algorithms for online authentication
title_sort comparison of fingerprint and face recognition algorithms for online authentication
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176772
_version_ 1814047312159178752