FACIAL FRECKLES RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK

被引：0
|
作者：
Hu, Liang [1 ,2 ]
Chen, Li [1 ,2 ]
Tian, Jing [1 ,2 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430081, Hubei, Peoples R China
[2] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan 430081, Hubei, Peoples R China
来源：
2017 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Freckles recognition; Deep learning; Facial marks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Freckles is a facial feature of human, it has many significant applications in many video surveillance area. This paper proposes to use deep learning method to perform freckles detection and recognition in face images. To be more specific, a freckle recognition model is proposed in this paper based on convolution neural network. Experimental results are presented to show that the proposed approach is able to achieve 98% accuracy freckle recognition rate.
引用
收藏
页码：145 / 148
页数：4
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