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http://dx.doi.org/10.3837/tiis.2015.01.012

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

Li, Weisheng (Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications)
Wang, Lidou (Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.1, 2015 , pp. 208-223 More about this Journal
Abstract
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.
Keywords
Face Recognition; Gabor wavelet; E-GV-LBP; Fast KNN classification; Near-infrared;
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1 Fethi M D, Pasiouras F., "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey," European Journal of Operational Research, vol. 204, no. 2, pp.189-198, 2010.   DOI
2 Li S Z, Chu R F, Liao S C, et al., "Illumination invariant face recognition using near-infrared images," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.29, no.4, pp.627-639, 2007.   DOI
3 Qi Z, Tian Y, Shi Y., "Robust twin support vector machine for pattern classification," Pattern Recognition, vol.46, no.1, pp.305-316, 2013.   DOI
4 Xie S, Shan S, Chen X, et al. "Fusing local patterns of gabor magnitude and phase for face recognition," IEEE Transactions on Image Processing, vol.19, no.5, pp.1349-1361, 2010.   DOI
5 Pietikainen M, Hadid A, Zhao G, et al., "Spatiotemporal LBP," Computer Vision Using Local Binary Patterns, Springer London, pp.49-65, 2011.
6 Shen L, Bai L. "MutualBoost learning for selecting Gabor features for face recognition," Pattern Recognition Letters, vol.27, no.15, pp.1758-1767, 2006.   DOI
7 Ojala T, Pietikainen M, Maenpaa T., "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, no.7, pp.971-987, 2002.   DOI
8 Xia X, Yang X, Li S, et al., "RW. KNN: A proposed random walk knn algorithm for multi-label classification," in Proc. of the 4th ACM workshop on Workshop for Ph. D. students in information & knowledge management, pp.87-90, 2011.
9 Zhang B, Zhang L, Zhang D, et al., "Directional binary code with application to PolyU near infrared face database," Pattern Recognition Letters, vol.31, no.14, pp.2337-2344, 2010.   DOI
10 Georghiades A S, Belhumeur P N, Kriegman D., "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, no.6, pp.643-660, 2001.   DOI
11 Samaria F S, Harter A C., "Parameterisation of a stochastic model for human face identification," in Proc. of the Second IEEE Workshop on Applications of Computer Vision, pp.138-142, 1994.
12 Sim T, Baker S, Bsat M., "The CMU Pose, Illumination and Expression(PIE) Database," in Proc. of IEEE International Conference Automatic Face and Gesture Recognition, pp.46-51, 2002.
13 Zhang W, Shan S, Qing L, et al., "Are Gabor phases really useless for face recognition?," Pattern Analysis and Applications, vol.12, no.3, pp.301-307, 2009.   DOI
14 Liu C, Wechsler H., "Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition," IEEE Transactions on Image processing, vol.11, no.4, pp.467-476, 2002.   DOI
15 Xu C, Li S, Tan T, et al., "Automatic 3D face recognition from depth and intensity Gabor features," Pattern Recognition, vol.42, no.9, pp.1895-1905, 2009.   DOI
16 Zhang W, Shan S, Gao W, et al., "Local Gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition," in Proc. Of Tenth IEEE International Conference on Computer Vision, pp.786-791, 2005.
17 Zhang B, Shan S, Chen X, et al., "Histogram of Gabor phase patterns (HGPP): a novel object representation approach for face recognition," IEEE Transactions on Image Processing, vol.16, no.1, pp.57-68, 2007.   DOI
18 Baoyong Z, Yingjian Q., "Image classification with ant colony based support vector machine," in Proc. of the 30th Chinese Control Conference (CCC), pp.3260-3263, 2011.
19 Almaev T R, Valstar M F. "Local gabor binary patterns from three orthogonal planes for automatic facial expression recognition," Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. IEEE, pp.356-361, 2013.
20 Wang M, Hong R, Yuan X T, et al., "Movie2comics: Towards a lively video content presentation," IEEE Transactions on Multimedia, vol.14, no.3, pp.858-870, 2012.   DOI
21 Cover T, Hart P., "Nearest neighbor pattern classification," IEEE Transactions on Information Theory, vol.13, no.1, pp.21-27, 1967.   DOI
22 Hong R, Wang M, Gao Y, et al., "Image Annotation By Multiple-Instance Learning with Discriminative Feature Mapping and Selection," IEEE Transactions on Cybernetics, vol.44, no.5, pp.669-680627-639, 2014.   DOI
23 Lei Z, Liao S, Pietikainen M, et al., "Face recognition by exploring information jointly in space, scale and orientation," IEEE Transactions on Image Processing, vol.20, no.1, pp.247-256, 2011.   DOI