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  2018, Vol. 31 Issue (7): 602-611    DOI: 10.16451/j.cnki.issn1003-6059.201807003
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Low-Resolution Face Recognition Based on Recursive Label Propagation Algorithm
XUE Shan1, ZHU Hong1, WANG Jing1, SHI Jing1
1.Faculty of Automation and Information Engineering, Xi′an University of Technology, Xi′an 710048

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Abstract  In low-resolution face recognition, the feature representation ability is not robust and the discrimination result of open-set face recognition is inaccurate. Therefore, an algorithm for low-resolution face recognition based on recursive label propagation algorithm is proposed. Firstly, VGG network is utilized to extract face representations. Secondly, the mapping relationship between high-resolution and low-resolution images can be acquired based on the similarity of feature vectors. Finally, the iteration label propagation algorithm is conducted on the labeled and unlabeled facial samples. During the iterations, the adaptive confidence threshold approaching to 100% recognition accuracy is estimated according to the confidence histogram of each category. The identified unlabeled samples are updated to the labeled sample set based on the threshold, thereby the recognition recall rate is improved. Experimental results on public face datasets show that the proposed algorithm achieves a high recall rate with 100% precision.
Key wordsLabel Propagation      Convolutional Neural Network(CNN)      Low-Resolution      Face Recognition     
Received: 01 February 2018     
ZTFLH: TP 391  
Fund:Supported by National Natural Science Foundation of China(No.61771386、61673318), Science and Technology Research Project of Hubei Provincial Department of Education(No.B2017080)
Corresponding Authors: ZHU Hong(Corresponding author), Ph.D., professor. Her research interests include di-gital image processing, intelligent video surveillance and pattern recognition.   
About author:: XUE Shan, Ph.D. candidate. His research interests include digital image processing, deep learning and face recognition.WANG Jing, Ph.D. candidate. Her research interests include pattern recognition and digital image processing.SHI Jing, Ph.D. candidate, lecturer. Her research interests include scene image classification, pattern recognition and digital image processing.
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XUE Shan
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Cite this article:   
XUE Shan,ZHU Hong,WANG Jing等. Low-Resolution Face Recognition Based on Recursive Label Propagation Algorithm[J]. , 2018, 31(7): 602-611.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201807003      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I7/602
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