Gender classification based on isolated facial features and foggy faces using jointly trained deep convolutional neural network
Author:
Affiliation:
1. Hazara University, Department of Information Technology, Mansehra
2. Intel Corporation, Rio Rancho, New Mexico
3. University of Illinois at Chicago, Department of Electrical and Computer Engineering, Chicago, Illin
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference61 articles.
1. Gender Classification From the Same Iris Code Used for Recognition
2. Gender and ethnicity classification of iris images using deep class-encoder;Singh,2017
3. Gender Classification Based on Geometry Features of Palm Image
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5. Age and Gender Estimation of Unfiltered Faces
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