Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0210019(2021)

Finger-Knuckle-Print Recognition Based on NSST and Tetrolet Energy Features

Yuan Wang* and Sen Lin
Author Affiliations
  • School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (19)
    Equations (0)
    References (20)
    Cited By (1)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated:May. 21, 2024

    Citation counts are provided from Researching.
    The article is cited by 1 article(s) from Researching.
    Tools

    Get Citation

    Copy Citation Text

    Yuan Wang, Sen Lin. Finger-Knuckle-Print Recognition Based on NSST and Tetrolet Energy Features[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210019

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jun. 17, 2020

    Accepted: Jul. 20, 2020

    Published Online: Jan. 11, 2021

    The Author Email: Wang Yuan (826998554@qq.com)

    DOI:10.3788/LOP202158.0210019

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology