Near-infrared face recognition by fusion of E-GV-LBP and FKNN

被引：1
|
作者：
Li, Weisheng [1 ]
Wang, Lidou [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Computat Intelligence, Chongqing 400065, Peoples R China
来源：
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | 2015年 / 9卷 / 01期
关键词：
Face Recognition; Gabor wavelet; E-GV-LBP; Fast KNN classification; Near-infrared; REPRESENTATION; CLASSIFICATION; HISTOGRAM; SCALE; MODEL;
D O I：
10.3837/tiis.2015.01.012
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To solve the problem of face recognition with complex changes and further improve the efficiency, a new near-infrared face recognition algorithm which fuses E-GV-LBP and FKNN algorithm is proposed. Firstly, it transforms near infrared face image by Gabor wavelet. Then, it extracts LBP coding feature that contains space, scale and direction information. Finally, this paper introduces an improved FKNN algorithm which is based on spatial domain. The proposed approach has brought face recognition more quickly and accurately. The experiment results show that the new algorithm has improved the recognition accuracy and computing time under the near-infrared light and other complex changes. In addition, this method can be used for face recognition under visible light as well.
引用
收藏
页码：208 / 223
页数：16
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