Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158271
Title: Biometrics-based approach for online security
Authors: Kaung, Myat Shwe
Keywords: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Kaung, M. S. (2022). Biometrics-based approach for online security. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158271
Project: P3054-202
Abstract: Along with the new technological advancements, hackers are also evolving and continue to pose a threat to cybersecurity. In the face of rising cyberattacks, conventional methods of security such as passwords and pins are proven vulnerable and ineffective against them. Hence, biometric authentication is fast becoming the preferred way to safeguard the individuals and companies from threat actors and represent a favorable alternative to passwords. Therefore, in this project, the author will explore different biometric techniques and implement the proposed method which is face recognition. An application prototype which will combine the password and biometric feature as a two-factor authentication, is developed using MATLAB Apps Designer. Two algorithms are implemented for the purpose of face recognition: support vector machine classification and AlexNet deep transfer learning. Different sets of experimental testings are then carried out under various constraints such as illumination, face orientation, expression, occlusion, etc. Both algorithms show promising results for the task of facial recognition and it is recommended for usage throughout modern societies.
URI: https://hdl.handle.net/10356/158271
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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