Deep Learning Based Gender and Age Estimation from Human Iris

2019 ◽  
Author(s):  
Minakshi Rajput ◽  
Ganesh Sable

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.


2018 ◽  
Vol 29 (5) ◽  
pp. 2322-2329 ◽  
Author(s):  
Yuan Li ◽  
Zhizhong Huang ◽  
Xiaoai Dong ◽  
Weibo Liang ◽  
Hui Xue ◽  
...  

Author(s):  
DePeng Zheng ◽  
JiXiang Du ◽  
WenTao Fan ◽  
Jing Wang ◽  
ChuanMin Zhai

Author(s):  
Refat Khan Pathan ◽  
Mohammad Amaz Uddin ◽  
Nazmun Nahar ◽  
Ferdous Ara ◽  
Mohammad Shahadat Hossain ◽  
...  

2007 ◽  
Vol 127 (7) ◽  
pp. 1022-1029 ◽  
Author(s):  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi ◽  
Norio Akamatsu

2020 ◽  
Vol 196 ◽  
pp. 102961 ◽  
Author(s):  
Alice Othmani ◽  
Abdul Rahman Taleb ◽  
Hazem Abdelkawy ◽  
Abdenour Hadid

2016 ◽  
Vol 187 ◽  
pp. 4-10 ◽  
Author(s):  
Yuan Dong ◽  
Yinan Liu ◽  
Shiguo Lian

Author(s):  
Hao Liu ◽  
Jiwen Lu ◽  
Jianjiang Feng ◽  
Jie Zhou

Sign in / Sign up

Export Citation Format

Share Document