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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2024
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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 |
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Computer and Information Science Engineering PCA Fingerprint recognition Facial recognition Long, Shi Jun Comparison of fingerprint and face recognition algorithms for online authentication |
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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. |
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Mohammed Yakoob Siyal |
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Mohammed Yakoob Siyal Long, Shi Jun |
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Final Year Project |
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Long, Shi Jun |
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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 |
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Comparison of fingerprint and face recognition algorithms for online authentication |
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comparison of fingerprint and face recognition algorithms for online authentication |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/176772 |
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