Comparison of face recognition techniques : The effects of features and parameters setting
Face recognition is an important biometric application. In this thesis, a comparison of two common techniques for face recognition is carried out under the same conditions. The first technique is the Principal Component Analysis (PCA) while the second is Linear Discriminant Analysis (LDA). In additi...
Saved in:
Main Author: | Ervin Gubin Moung |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2013
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/41788/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41788/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/41788/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance evaluation study of data selection and matching criteria in face recognition for human surveillance
by: Ervin Gubin Moung
Published: (2018) -
Face recognition employees attendance system
by: Abdullah Al Nasser, Munef Hasan
Published: (2022) -
Development of real-time multi pose face recognition and tracking system
by: Manimehala Nadarajan
Published: (2016) -
Feature extraction using two dimensional (2D) legendre wavelet filter for partial iris recognition
by: Muktar, Danlami
Published: (2020) -
Driver’s fatigue detection system based on facial features
by: Khan, Ijaz
Published: (2014)