Fusion Method of Palmprint Recognition Base on Texture Features and Lines Features

被引：0
|
作者：
Liu Hongxi [1 ,2 ]
Cai Changqing [1 ]
Ni Hongxia [1 ]
Sun Junxi [2 ]
机构：
[1] Changchun Inst Technol, Coll Elect & Informat, Changchun, Peoples R China
[2] Changchun Univ Sci & Technol, Dept Elect & Informat Engn, Changchun, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
palmprint recognition; texture features; line features; D-S theory of evidence; VERIFICATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The palmprint recognition is studied in detail. Some problem about feature extraction, feature fusion and matching is discussed. The extraction of line feature is obtained based on mathematic morphology. Texture feature extraction based on Gabor filters is also carried out. Using line and texture features, two classifiers is designed. Then, basic probability assignment functions of the two classifiers are proposed by Fuzzy regulation. At last, the result of two classifiers carries through fusion decision by D-S theory of evidence. The result of the experiment has already shown that this kind of method is valid, reasonable.
引用
收藏
页码：1609 / +
页数：2
相关论文
共 50 条
  • [1] Fusion of Submanifold and Local Texture Features for Palmprint Authentication
    Rani, Asha
    Verma, Manisha
    Raman, Balasubramanian
    2015 VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2015,
  • [2] Multi-order texture features for palmprint recognition
    Yang, Ziyuan
    Leng, Lu
    Wu, Tengfei
    Li, Ming
    Chu, Jun
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (02) : 995 - 1011
  • [3] Multi-order texture features for palmprint recognition
    Ziyuan Yang
    Lu Leng
    Tengfei Wu
    Ming Li
    Jun Chu
    Artificial Intelligence Review, 2023, 56 : 995 - 1011
  • [4] Gabor Filter and Texture based Features for Palmprint Recognition
    Younesi, Ali
    Amirani, Mehdi Chehel
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017), 2017, 108 : 2488 - 2495
  • [5] Palmprint recognition using fusion of local and global features
    Pan, Xin
    Ruan, Qiuqi
    Wang, Yanxia
    2007 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, VOLS 1 AND 2, 2007, : 562 - +
  • [6] Robust features fusion utilization for supervised palmprint recognition
    Ata, Mohamed Maher
    Elgamily, Khaled Mohammed
    Mohamed, Mohamed A.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (10):
  • [7] Multispectral Palmprint Recognition based on Fusion of Local Features
    Amraoui, Amine
    Fakhri, Youssef
    Kerroum, Mounir Ait
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2018, : 115 - 120
  • [8] Biometric palmprint identification via efficient texture features fusion
    Mokni, Raouia
    Elleuch, Mohamed
    Kherallah, Monji
    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 4857 - 4864
  • [9] Texture based features for robust palmprint recognition: a comparative study
    Raghavendra R.
    Busch C.
    Eurasip Journal on Information Security, 2015, 2015 (01)
  • [10] Bidirectional aggregated features fusion from CNN for palmprint recognition
    Zhang, Jianxin
    Yang, Aoqi
    Zhang, Mingli
    Zhang, Qiang
    INTERNATIONAL JOURNAL OF BIOMETRICS, 2018, 10 (04) : 334 - 351
12345