吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 549-555.doi: 10.13229/j.cnki.jdxbgxb201602033

• Orginal Article • Previous Articles     Next Articles

Face recognition based on fast scale invariant feature transform algorithm and fuzzy control

NIE Hai-tao1, 2, LONG Ke-hui1, MA Jun1, ZHANG Lei1, MA Xi-qiang3   

  1. 1.Changchun Institute of Optics, Fine Mechanics and Physics, University of Chinese Academy of Science ,Changchun 130033,China;
    2. University of Chinese Academy of Sciences, Beijing 100039, China;
    3. He'nan Key Lab for Machinery Design & Transmission System, He'nan University of Technology and Science, Luoyang 471003, China
  • Received:2014-07-22 Online:2016-02-20 Published:2016-02-20

RICH HTML

2   

PDF (PC)

549

Abstract: Most traditional face recognition systems can not be implemented for fast and accurate face recognition under cluttered background. To solve this problem, an improved Scale Invariant Feature Transform (SIFT) method and a fuzzy control strategy are proposed. First, four new angles are computed from the sub-region orientation histogram, which represent the orientation information of each SIFT feature. Then, the progress of face recognition is limited in a range based on the new angles, meanwhile the SIFT features are split into two types according to the size; only the features of the same type are computed, leading to significant simplification of the algorithm, thus a fast SIFT algorithm is obtained. Finally, a fuzzy closed loop control system is applied to increase the accuracy of face recognition, which leads to a decrement of the incorrect matching. The results show that the computing speed of the improved SIFT method is raised more than 40% comparing with the original SIFT algorithm and the recognition rate is raised 10% even under the clutter conditions where the illumination, posture or expression are changing.

Key words: computer application, face recognition, SIFT algorithm, feature matching, fuzzy control

CLC Number: 

  • TP391
[1] Turk M A,Pentland A P. Face recognition using eigenfaces[C]//Proc IEEE Conf Computer Vision and Pattern Recognition,Maui, HI,1991: 586-591.
[2] Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection[J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720.
[3] Comon P. Independent component analysis-a new concept[J]. Signal Processing, 1994, 36(2): 287-314.
[4] 聂海涛,龙科慧,马军,等.采用改进尺度不变特征变换在多变背景下实现快速目标识别[J]. 光学精密工程,2015,23(8):2349-2356.
Nie Hai-tao, Long Ke-hui, Ma Jun,et al. Fast object recognition under multiple varying background using improved SIFT method[J]. Optics and Precision Engineering, 2015, 23(8): 2349-2356.
[5] Ahonen T, Hadid A, Pietikainen M. Face description with local binary patterns: application to face recognition[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2006, 28(12): 2037-2041.
[6] Lowe D. Distinctive image features from scale-invariant keypoints,cascade filtering approach[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[7] 聂海涛.基于图像局部特征的康复机器人目标识别方法研究[D]. 北京:中国科学院大学,2015.
Nie Hai-tao. Study of rehabilitative robtics object recognition method based on local image feature[D]. Beijing:University of Chinese Academy of Sciences, 2015.
[8] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//IEEE Computer Society Conference on Computer Society, San Diego, USA, 2005: 886-893.
[9] Sabdi A, Hashemi H, Nader E S. On the PDF of the sum of random vectors[J]. IEEE Transaction on Communications, 2000, 48(1): 7-12.
[10] Xu W T, Hung Y S, Niranjan M, et al. Asymptotic mean and variance of Gini correlation for Bivariate normal samples[J]. IEEE Transaction on Signal Processing, 2010, 58(2): 522-534.
[11] Pappis C P, Mamdani Ehrahim H. A fuzzy logic controller for a trafc junction[J]. IEEE Transaction on Systems, Man and Cybernetics,1977, 7(10): 707-717.
[12] Chum O, Matas J. Optimal randomized RANSAC[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2008, 30(8): 1472-1482.
[13] Wang X,Tang X. Face photo-sketch synthesis and recognition[J].Trans Pattern Analysis and Machine Intelligence, 2009, 31(11): 1955-1967.
[14] Georgia Tech face database[DB/OL]. [2014-04-22].http://www.anefian.com/research/face_reco.htm.
[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   
[1] LIU Song-shan, WANG Qing-nian, WANG Wei-hua, LIN Xin. Influence of inertial mass on damping and amplitude-frequency characteristic of regenerative suspension[J]. 吉林大学学报(工学版), 2013, 43(03): 557 -563 .
[2] CHU Liang, WANG Yan-bo, QI Fu-wei, ZHANG Yong-sheng. Control method of inlet valves for brake pressure fine regulation[J]. 吉林大学学报(工学版), 2013, 43(03): 564 -570 .
[3] LI Jing, WANG Zi-han, YU Chun-xian, HAN Zuo-yue, SUN Bo-hua. Design of control system to follow vehicle state with HIL test beach[J]. 吉林大学学报(工学版), 2013, 43(03): 577 -583 .
[4] HU Xing-jun, LI Teng-fei, WANG Jing-yu, YANG Bo, GUO Peng, LIAO Lei. Numerical simulation of the influence of rear-end panels on the wake flow field of a heavy-duty truck[J]. 吉林大学学报(工学版), 2013, 43(03): 595 -601 .
[5] WANG Tong-jian, CHEN Jin-shi, ZHAO Feng, ZHAO Qing-bo, LIU Xin-hui, YUAN Hua-shan. Mechanical-hydraulic co-simulation and experiment of full hydraulic steering systems[J]. 吉林大学学报(工学版), 2013, 43(03): 607 -612 .
[6] ZHANG Chun-qin, JIANG Gui-yan, WU Zheng-yan. Factors influencing motor vehicle travel departure time choice behavior[J]. 吉林大学学报(工学版), 2013, 43(03): 626 -632 .
[7] MA Wan-jing, XIE Han-zhou. Integrated control of main-signal and pre-signal on approach of intersection with double stop line[J]. 吉林大学学报(工学版), 2013, 43(03): 633 -639 .
[8] YU De-xin, TONG Qian, YANG Zhao-sheng, GAO Peng. Forecast model of emergency traffic evacuation time under major disaster[J]. 吉林大学学报(工学版), 2013, 43(03): 654 -658 .
[9] XIAO Yun, LEI Jun-qing, ZHANG Kun, LI Zhong-san. Fatigue stiffness degradation of prestressed concrete beam under multilevel amplitude cycle loading[J]. 吉林大学学报(工学版), 2013, 43(03): 665 -670 .
[10] XIAO Rui, DENG Zong-cai, LAN Ming-zhang, SHEN Chen-liang. Experiment research on proportions of reactive powder concrete without silica fume[J]. 吉林大学学报(工学版), 2013, 43(03): 671 -676 .
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd