Application of Eigenvector and Eigenvalue for face recognition / Redhayuden Aidil Abdul Razak

Abdul Razak, Redhayuden Aidil (2020) Application of Eigenvector and Eigenvalue for face recognition / Redhayuden Aidil Abdul Razak. [Student Project] (Unpublished)

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Abstract

Face recognition is becoming one of the major aspects in computer vision. Face Recognition have various applications including Security Systems, Augmented reality, Real time identification and many more. Over the past few decades there have been numerous works done in this field and many methods and algorithms have been proposed. Although a revolutionary progress has been made regarding face recognition under usual circumstances and small variations but when it comes to recognizing faces in extreme variations like lighting and facial expressions the accuracy of the systems decreases dramatically. In this research, application of Eigenvector and Eigenvalue will be discussed for face recognition and execute a simple program using MATLAB. Furthermore, the accuracy of Eigenface will be shown and discussed at the end of the chapter.

Metadata

Item Type: Student Project
Creators:
Creators
Email
Abdul Razak, Redhayuden Aidil
2016289506
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ibrahim, Khalipah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > System design
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Pattern recognition systems
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Computational Mathematics
Item ID: 41057
Uncontrolled Keywords: Face Recognition ; Eigenvector and Eigenvalue ; Security Systems ; MATLAB
URI: https://ir.uitm.edu.my/id/eprint/41057

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