Face Recognition Method with Two-Dimensional HMM

被引：3
|
作者：
Bobulski, Janusz [1 ]
机构：
[1] Czestochowa Tech Univ, Inst Comp & Informat Sci, Dabrowskiego St 73, PL-42200 Czestochowa, Poland
来源：
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS, CORES 2015 | 2016年 / 403卷
关键词：
2D hidden Markov model; Face recognition; Image processing; EIGENFACES; 2D;
D O I：
10.1007/978-3-319-26227-7_30
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an automatic face recognition system, which bases on two-dimensional hidden Markov models. The traditional HMM uses one-dimensional data vectors, which is a drawback in the case of 2D image processing, as part of the information is lost during conversion. The paper presents the full ergodic 2D-HMM and uses it to identify faces. The experimental results demonstrate that the system, basing on two-dimensional hidden Markov models, is able to achieving an average recognition rate of 94%.
引用
收藏
页码：317 / 325
页数：9
相关论文
共 50 条
  • [1] Two-dimensional Laplacianfaces method for face recognition
    Niu, Ben
    Yang, Qiang
    Shiu, Simon Chi Keung
    Pal, Sankar Kumar
    [J]. PATTERN RECOGNITION, 2008, 41 (10) : 3237 - 3243
  • [2] A New Method of Two-Dimensional Feature Extraction for Face Recognition
    Li, Yongzhi
    Li, Guodong
    Yang, Jingyu
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 8, 2009, : 292 - 297
  • [3] Two-dimensional FLD for face recognition
    Xiong, HL
    Swamy, MNS
    Ahmad, MO
    [J]. PATTERN RECOGNITION, 2005, 38 (07) : 1121 - 1124
  • [4] Class-wise two-dimensional PCA method for face recognition
    Turhan, Ceren Guzel
    Bilge, Hasan Sakir
    [J]. IET COMPUTER VISION, 2017, 11 (04) : 286 - 300
  • [5] Two-dimensional multiple maximum scatter difference method for face recognition
    Qi, Yongfeng
    Zhang, Jiashu
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2010, 216 (12) : 3550 - 3557
  • [6] Multimodal face recognition method with two-dimensional hidden Markov model
    Bobulski, J.
    [J]. BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2017, 65 (01) : 121 - 128
  • [7] RESEARCH ON TWO-DIMENSIONAL LDA FOR FACE RECOGNITION
    Han Ke Zhu Xiuchang (College of Telecom. and Info. Eng.
    [J]. Journal of Electronics(China), 2006, (06) : 943 - 947
  • [8] Two-dimensional subspace classifiers for face recognition
    Cevikalp, Hakan
    Yavuz, Hasan Serhan
    Cay, Mehmet Atif
    Barkana, Atalay
    [J]. NEUROCOMPUTING, 2009, 72 (4-6) : 1111 - 1120
  • [9] Two-Dimensional Inverse FDA for Face Recognition
    Yang, Wankou
    Yan, Hui
    Yin, Jun
    Yang, Jingyu
    [J]. PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008), 2008, : 227 - 231
  • [10] RESEARCH ON TWO-DIMENSIONAL LDA FOR FACE RECOGNITION
    Han Ke Zhu Xiuchang College of Telecom and Info Eng Nanjing University of Posts and Telecom Nanjing China
    [J]. JournalofElectronics., 2006, (06) - 947
12345