Age and Gender Prediction from Face Images Using Convolutional Neural Network

被引：0
|
作者：
Ito, Koichi [1 ]
Kawai, Hiroya [1 ]
Okano, Takehisa [1 ]
Aoki, Takafumi [1 ]
机构：
[1] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi, Japan
来源：
2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Attribute information such as age and gender improves the performance of face recognition. This paper proposes an age and gender prediction method from face images using convolutional neural network. Through a set of experiments using public face databases, we demonstrate that the proposed method exhibits the efficient performance on age and gender prediction compared with conventional methods.
引用
收藏
页码：7 / 11
页数：5
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