Gender classification: a convolutional neural network approach
An approach using a convolutional neural network (CNN) is proposed for real-time gender classification based on facial images. The proposed CNN architecture exhibits a much reduced design complexity when compared with other CNN solutions applied in pattern recognition. The number of processing layer...
Main Authors: | Liew, Shan Sung, Khalil-Hani, Mohamed, Ahmad Radzi, Syafeeza, Bakhteri, Rabia |
---|---|
Format: | Article |
Language: | English |
Published: |
Turkiye Klinikleri Journal of Medical Sciences
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/74139/1/ShanSungLiew2016_Genderclassificationaconvolutionalneural.pdf |
Similar Items
-
Gender classication: a convolutional neural network approach
by: Liew, Shan Sung, et al.
Published: (2016) -
Convolutional neural networks with fused layers applied to face recognition
by: Syafeeza, A. R., et al.
Published: (2015) -
Finger-vein biometric identification using convolutional neural network
by: Ahmad Radzi, S., et al.
Published: (2016) -
Convolutional neural networks for face recognition and finger-vein biometric identification
by: Ahmad Radzi, Syafeeza
Published: (2014) -
Generalizing convolutional neural networks for pattern recognition tasks
by: Syafeeza, A. Radzi, et al.
Published: (2015)