Suzanna Renusha, Darmarajah (2020) Face Analysis using Statistical Discriminant Methods. [Final Year Project Report] (Unpublished)
![[img]](http://ir.unimas.my/style/images/fileicons/text.png) |
PDF (Please get the password from TECHNICAL & DIGITIZATION MANAGEMENT UNIT, ext: 082-583913/ 082-583914)
Suzanna Renusha Darmarajah.pdf Restricted to Registered users only Download (515kB) |
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 Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology 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 |
Actions (For repository members only: login required)
 |
View Item |
