Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/176772
Title: Comparison of fingerprint and face recognition algorithms for online authentication
Authors: Long, Shi Jun
Keywords: Computer and Information Science
Engineering
Issue Date: 2024
Publisher: Nanyang Technological University
Source: 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
Project: A3126-231 
Abstract: 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.
URI: https://hdl.handle.net/10356/176772
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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