吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (02): 435-438.

Previous Articles     Next Articles

Human face recognition based on low resolution local binary pattern

DAI Jin-bo1,2, XIAO Xiao1, ZHAO Hong-wei1   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. Department of Computer Science and Technology, Changchun Normal University, Changchun 130032, China
  • Received:2011-12-27 Online:2013-03-01 Published:2013-03-01

Abstract: In order to improve the accuracy of human face recognition, a novel Low Resolution Local Binary Pattern (LRLBP) method is proposed. First, the low-resolution image is obtained from the original image through wave filter and down-sampling. Second, the obtained image is divided into non-overlapping rectangular regions and the histogram of each region is computed independently. Finally, these histograms are concatenated as the feature vector of the human face. Experiment results on ORL and Yale face databases show that the proposed LRLBP method can get high human face recognition rate and that the method is robust to illumination, face expression and position variations.

Key words: computer application, local binary pattern, low resolution, feature extraction, face recognition

CLC Number: 

  • TP391.41
[1] Ojala T, Pietikainen M, Harwood D. A comparative study of texture measures with classification based on feature distributions[J]. Pattern Recognition, 1996, 29(1): 51-59.

[2] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Trans PAMI, 2002, 24 (7): 971-987.

[3] Rafael C Gonzalez, Richard E Woods. Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry,2010.

[4] Pietikainen M.Image analysis with local binary patterns//SCIA 2005:14th Scandinavian Conference on Image Analysis.Heidelberg:Springer,2005.

[5] Kellokumpu Vili, Zhao Guoying, Pietikäinen Matti. Recognition of human actions using texture descriptors[J]. Machine Vision and Applications,2011,22(5):767-780.

[6] Ahonen T, Pietikainen M. A framework for analyzing texture descriptors//Third International Conference on Computer Vision Theory and Applications.Heidelberg: Springer, 2008.

[7] Ahonen Timo, Pietikainen Matti. Pixelwise local binary pattern models of faces using kernel density estimation//Advances in Biometrics, ICB 2009 Proceedings,Sardinia Island, 2009.

[8] Sokal R, Rohlf F. Biometry[M].Freeman:San Francisco, 1969.
[1] LIU Fu,ZONG Yu-xuan,KANG Bing,ZHANG Yi-meng,LIN Cai-xia,ZHAO Hong-wei. Dorsal hand vein recognition system based on optimized texture features [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1844-1850.
[2] WANG Li-min,LIU Yang,SUN Ming-hui,LI Mei-hui. Ensemble of unrestricted K-dependence Bayesian classifiers based on Markov blanket [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1851-1858.
[3] JIN Shun-fu,WANG Bao-shuai,HAO Shan-shan,JIA Xiao-guang,HUO Zhan-qiang. Synchronous sleeping based energy saving strategy of reservation virtual machines in cloud data centers and its performance research [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1859-1866.
[4] ZHAO Dong,SUN Ming-yu,ZHU Jin-long,YU Fan-hua,LIU Guang-jie,CHEN Hui-ling. Improved moth-flame optimization method based on combination of particle swarm optimization and simplex method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1867-1872.
[5] LIU En-ze,WU Wen-fu. Agricultural surface multiple feature decision fusion disease judgment algorithm based on machine vision [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1873-1878.
[6] OUYANG Dan-tong, FAN Qi. Clause-level context-aware open information extraction [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1563-1570.
[7] LIU Fu, LAN Xu-teng, HOU Tao, KANG Bing, LIU Yun, LIN Cai-xia. Metagenomic clustering method based on k-mer frequency optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1593-1599.
[8] GUI Chun, HUANG Wang-xing. Network clustering method based on improved label propagation algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1600-1605.
[9] LIU Yuan-ning, LIU Shuai, ZHU Xiao-dong, CHEN Yi-hao, ZHENG Shao-ge, SHEN Chun-zhuang. LOG operator and adaptive optimization Gabor filtering for iris recognition [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1606-1613.
[10] CHE Xiang-jiu, WANG Li, GUO Xiao-xin. Improved boundary detection based on multi-scale cues fusion [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1621-1628.
[11] ZHAO Hong-wei, LIU Yu-qi, DONG Li-yan, WANG Yu, LIU Pei. Dynamic route optimization algorithm based on hybrid in ITS [J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12] HUANG Hui, FENG Xi-an, WEI Yan, XU Chi, CHEN Hui-ling. An intelligent system based on enhanced kernel extreme learning machine for choosing the second major [J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13] FU Wen-bo, ZHANG Jie, CHEN Yong-le. Network topology discovery algorithm against routing spoofing attack in Internet of things [J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14] CAO Jie, SU Zhe, LI Xiao-xu. Image annotation method based on Corr-LDA model [J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15] HOU Yong-hong, WANG Li-wei, XING Jia-ming. HTTP-based dynamic adaptive streaming video transmission algorithm [J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!