Gender recognition on real world faces based on shape representation and neural network
Gender as a soft biometric attribute has been extensively investigated in the domain of computer vision because of its numerous potential application areas. However, studies have shown that gender recognition performance can be hindered by improper alignment of facial images. As a result, previous e...
Saved in:
Main Authors: | Arigbabu O.A., Ahmad S.M.S., Adnan W.A.W., Yussof S., Iranmanesh V., Malallah F.L. |
---|---|
Other Authors: | 56047591000 |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gender recognition on real world faces based on shape representation and neural network
by: Arigbabu, Olasimbo Ayodeji, et al.
Published: (2014) -
Soft biometrics: Gender recognition from unconstrained face images using local feature descriptor
by: Arigbabu O.A., et al.
Published: (2023) -
Online handwritten signature verification using neural network classifier based on principal component analysis
by: Iranmanesh V., et al.
Published: (2023) -
Estimating body related soft biometric traits in video frames
by: Arigbabu O.A., et al.
Published: (2023) -
Integration of multiple soft biometrics for human identification
by: Arigbabu O.A., et al.
Published: (2023)