Face Analysis using Statistical Discriminant Methods

Suzanna Renusha, Darmarajah (2020) Face Analysis using Statistical Discriminant Methods. [Final Year Project Report] (Unpublished)

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Abstract

There have been major accomplishments and advances in biometric authentication and in the field of computer vision. The non invasive nature of facial recognition has made it a popular area of research and the more preferred method of security implementation. Without a doubt, algorithms for gender-based recognition encompassing full bodies would be more effective. However, there are instances where the full body silhouette is not visible. For instance, when a person is standing close to the sensor. This research investigates, how these algorithms specifically PCA can be manipulated to analyse faces and categorize them according to gender.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: major accomplishments, biometric authentication, computer vision, gender-based recognition, algorithms specifically PCA.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 03 Mar 2021 04:06
Last Modified: 03 Mar 2021 04:06
URI: http://ir.unimas.my/id/eprint/34658

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