IOE OpenIR  > 光电探测与信号处理研究室(五室)
Face Recognition based on Convolution Siamese Networks
Haoran Wu1,2; Jianlin Zhang1; Wei Yan1; Xiao Ma1
Source Publication2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017)
Issue978-1-5386-1937-7
Pages1-5
2017
Language英语
Abstract

In this paper, we use convolutional siamese networks for face recognition. Face recognition is one of the non-contact biometrics and widely applied in many circumstances. As the advent of artificial intelligence era, the demands on accuracy and robustness get greater and greater at present. Due to its low accuracy and restrictions in many conditions, it’s hard for traditional methods to satisfy the demands. In this paper we propose a new network with convolutional siamese architecture for face recognition. Like some common face recognition systems, we use face detection to get the position of the face in an image. The deep learning methods are used to exploit the feature of the face. We finish the comparison of the detected face and the faces in the database. The experiments demonstrate a very good performance compared to other methods.

KeywordFace Recognition Convolutional Siamese Networks Deep Learning
Conference Name2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017)
Conference Date2017.10.14-16
Conference PlaceShanghai, China
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9049
Collection光电探测与信号处理研究室(五室)
Corresponding AuthorJianlin Zhang
Affiliation1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
2.University of Chinese Academy of Sciences, Beijing, China, 100039
Recommended Citation
GB/T 7714
Haoran Wu,Jianlin Zhang,Wei Yan,et al. Face Recognition based on Convolution Siamese Networks[C],2017:1-5.
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