Palmprint recognition based on the representation in the feature space

被引:17
|
作者
Zhang, Shuwen [1 ]
Gu, Xuxin [1 ]
机构
[1] Key Lab Network Oriented Intelligent Computat, Shenzhen 518055, Peoples R China
来源
OPTIK | 2013年 / 124卷 / 22期
关键词
Palmprint recognition; RBF kernel function; Feature space; Image representation; FACE RECOGNITION; IDENTIFICATION; SCHEME;
D O I
10.1016/j.ijleo.2013.03.133
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, we propose a palmprint recognition method based on the representation in the feature space. The proposed method seeks to represent the test sample as a linear combination of all the training samples in the feature space and then exploits the obtained linear combination to perform palmprint recognition. We can implement the mapping from the original space to the feature space by using the kernel functions such as radial basis function (RBF). In this method, the selection of the parameter of the kernel function is important. We propose an automatic algorithm for selecting the parameter. The basic idea of the algorithm is to optimize the feature space such that the samples from the same class are well clustered while the samples from different classes are pushed far away. The proposed criterion measures the goodness of a feature space, and the optimal kernel parameter is obtained by minimizing this criterion. Experimental results on multispectral palmprint database show that the proposed method is more effective than 2DPCA, 2DLDA, AANNC, CRC_RLS, nearest neighbor method (NN) and competitive coding method in terms of the correct recognition rate. (C) 2013 Elsevier GmbH. All rights reserved.
引用
收藏
页码:5434 / 5439
页数:6
相关论文
共 50 条
  • [1] A Palmprint Recognition Based on Collaborative Representation
    Guo Xiu-mei
    Wan Lin-mei
    Wang Cheng-yi
    [J]. FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2, 2014, 457-458 : 1317 - 1322
  • [2] Joint deep convolutional feature representation for hyperspectral palmprint recognition
    Zhao, Shuping
    Zhang, Bob
    Chen, C. L. Philip
    [J]. INFORMATION SCIENCES, 2019, 489 : 167 - 181
  • [3] Discriminative Multiview Learning for Robust Palmprint Feature Representation and Recognition
    Li, Shuyi
    Zhou, Jianhang
    Zhang, Bob
    Wu, Lifang
    Jian, Meng
    [J]. IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE, 2024, 6 (03): : 304 - 313
  • [4] Palmprint recognition based on discriminant multiscale representation
    Doghmane, Hakim
    Bourouba, Hocine
    Messaoudi, Kamel
    Bouridane, Ahmed
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2018, 27 (05)
  • [5] Orientation space code and multi-feature two-phase sparse representation for palmprint recognition
    Liang, Lu
    Chen, Tao
    Fei, Lunke
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2020, 11 (07) : 1453 - 1461
  • [6] Orientation space code and multi-feature two-phase sparse representation for palmprint recognition
    Lu Liang
    Tao Chen
    Lunke Fei
    [J]. International Journal of Machine Learning and Cybernetics, 2020, 11 : 1453 - 1461
  • [7] Palmprint Recognition Based on Complete Direction Representation
    Jia, Wei
    Zhang, Bob
    Lu, Jingting
    Zhu, Yihai
    Zhao, Yang
    Zuo, Wangmeng
    Ling, Haibin
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26 (09) : 4483 - 4498
  • [8] Quadtree Decomposition for Palm print Feature representation in Palmprint Recognition System
    Kanchana, S.
    Balakrishnan, G.
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT), 2012, : 291 - 294
  • [9] Palmprint Recognition Based On Multi-feature Integration
    Zhang Yaxin
    Liu Huanhuan
    Geng Xuefei
    Liu Lili
    [J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 992 - 995
  • [10] Palmprint Recognition Based on Local DCT Feature Extraction
    Choge, H. Kipsang
    Oyama, Tadahiro
    Karungaru, Stephen
    Tsuge, Satoru
    Fukumi, Minoru
    [J]. NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS, 2009, 5863 : 639 - 648