Development of a deep learning scheme for unconstrained face recognition /
Face recognition under controlled environment that is where pose, illumination and other factors are controlled, has well been developed in the literature and near perfection accuracy results have been achieved. However, the unconstrained counterparts, where these factors are not controlled, still p...
Saved in:
Main Author: | Said, Marwa Yousif Hassan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2016
|
Subjects: | |
Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design study of a face recognition system /
by: Kumar, Krishnamurthy Arun
Published: (1996) -
Iris extraction from human faces and its application to face recognition /
by: Mohamed Juhari Mohd Rizon
Published: (2002) -
Single sample face recognition using a network of spiking neurons /
by: Fadhlan Hafizhelmi bin Kamaru Zaman
Published: (2015) -
A comparative study of face recognition using AAM,PCA and ICA VIA feret data base /
by: Ahmed, Khamiss Masaoud Salem
Published: (2011) -
Human face detection using skin color tone /
by: Mohialdeen, Hewa Majeed
Published: (2013)