Face Recognition based on Independent Component Analysis and Core Vector Machines

被引：0
|
作者：
Peng, Zhongya [1 ]
Cheng, Guojian [1 ]
Cao, Qingnian [1 ]
机构：
[1] Xian Shiyou Univ, Sch Comp Sci, Xian 710065, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES | 2009年 / 8卷
关键词：
Face Recognition; Independent Component Analysis; Core Vector Machines; Support Vector Machines;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In the process of face recognition, ICA (independent component analysis) is used to extract face feature, which is the coefficients of face images projecting to the independent basal images. The basal images generated by ICA are not only irrelevant but also statistical independent, which can characterize the local feature of faces. Face images can be recognized by classifying the coefficients based on SVM (Support vector machines) and CVM (Core vector machines). Both SVM and CVM have high recognition accuracy. With the increasing of ICA feature numbers, CVM can get higher accuracy, less training time and fewer support vectors. Experimental results show that the algorithm based on ICA & CVM is feasible and effective for face recognition.
引用
收藏
页码：467 / 470
页数：4
相关论文
共 50 条
  • [21] Support vector machines, PCA and LDA in face recognition
    Mazanec, Jan
    Melisek, Martin
    Oravec, Milos
    Pavlovicova, Jarmila
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2008, 59 (04): : 203 - 209
  • [22] Face Recognition Based on Principal Component Analysis and Support Vector Machine Algorithms
    Zhang, Yanbang
    Zhang, Fen
    Guo, Lei
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 7452 - 7456
  • [23] Face Recognition Based on Kernel Principal Components Analysis and Proximal Support Vector Machines
    Li Yunfeng
    Sun Lihua
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2012, 12 (09): : 59 - 62
  • [24] Sparse factorial code representation using independent component analysis for face recognition
    Li, Chao
    Mi, Jian-Xun
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (16) : 21371 - 21392
  • [25] Sparse factorial code representation using independent component analysis for face recognition
    Chao Li
    Jian-Xun Mi
    Multimedia Tools and Applications, 2018, 77 : 21371 - 21392
  • [26] Independent component analysis of Gabor feature's for face recognition
    Liu, CJ
    Wechsler, H
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (04): : 919 - 928
  • [27] Face recognition using wavelet transform and independent component analysis
    Lu, JW
    Zhang, E
    ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS, 2005, : 7055 - 7058
  • [28] Face recognition using an enhanced independent component analysis approach
    Kwak, Keun-Chang
    Pedrycz, Witold
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (02): : 530 - 541
  • [29] Shift Invariant Support Vector Machines Face Recognition System
    Ruiz-Pinales, J.
    Acosta-Reyes, J. J.
    Salazar-Garibay, A.
    Jaime-Rivas, R.
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 16, 2006, 16 : 167 - 171
  • [30] Face Recognition: A Sparse Representation-based Classification Using Independent Component Analysis
    Karimi, Mirhossein Mousavi
    Soltanian-Zadeh, Hamid
    2012 SIXTH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2012, : 1170 - 1174
12345