Face Recognition State-of-the-art, Enablers, Challenges and Solutions: A Review
In the past decade, face recognition has gained an important role among the most frequently used image processing applications and the availability of viable technologies in this field has also contributed significantly to this. Face recognition has become an enabler in healthcare, surveillance, pho...
Saved in:
Main Authors: | Ervin Gubin Moung, Jamal Ahmad Dargham, Ali Chekima, Sigeru Omatu |
---|---|
Format: | Article |
Language: | English English |
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/26017/1/Face%20Recognition%20State-of-the-art%2C%20Enablers%2C%20Challenges%20and%20Solutions%20%20A%20Review.pdf https://eprints.ums.edu.my/id/eprint/26017/2/Face%20Recognition%20State-of-the-art%2C%20Enablers%2C%20Challenges%20and%20Solutions%20%20A%20Review%201.pdf https://eprints.ums.edu.my/id/eprint/26017/ https://doi.org/10.30534/ijatcse/2020/1691.22020 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Effect of Database Type on Face Recognition Performance for Surveillance Applications
by: Ervin Gubin Moung, et al.
Published: (2020) -
A Comparison of the YCBCR Color Space with Gray Scale for Face Recognition for Surveillance Applications
by: Jamal Ahmad Dargham, et al.
Published: (2016) -
The effect of training data selection on face recognition in surveillance application
by: Jamal Ahmad Dargham, et al.
Published: (2015) -
Performance evaluation study of data selection and matching criteria in face recognition for human surveillance
by: Ervin Gubin Moung
Published: (2018) -
Ensemble-based face expression recognition approach for image sentiment analysis
by: Ervin Gubin Moung, et al.
Published: (2022)