Gender classification based on fuzzy clustering and principal component analysis

Gender classification based on fuzzy clustering and principal component analysis

Gender classification is one of the most challenging problems in computer vision. Facial gender detection of neonates and children is also known as a highly demanding issue for human observers. This study proposes a novel gender classification method using frontal facial images of people. The propos...

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Bibliographic Details
Main Authors: Hamid Hassanpour, Amin Zehtabian, Avishan Nazari, Hossein Dehghan
Format: Article
Language:English
Published: Wiley 2016-04-01
Series:IET Computer Vision
Subjects:
gender classification method
fuzzy clustering technique
principal component analysis
computer vision
facial gender detection
frontal facial images
Online Access:https://doi.org/10.1049/iet-cvi.2015.0041

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