Identification of palm print using dermatoglyphics analysis and detection system

被引:2
|
作者
Qiao, YH
Li, Z
Wang, Q
Zeng, YJ [1 ]
Liang, K
机构
[1] Beijing Polytech Univ, Ctr Biomed Engn, Beijing 100022, Peoples R China
[2] Chinese Acad Med Sci, Tumor Res, Beijing 100021, Peoples R China
关键词
dermatoglyphics; palm print; automatic identification; image processing;
D O I
10.1016/j.medengphy.2004.10.012
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper investigated the biological characteristics of palm print. The preprocessing plays an important role in identifying the ridge characteristics of palm due to the complexity and poor quality of the images. As a functional plug-in of the dermatoglyphics analysis and detection system, the template-based image preprocessing was proposed in this study, including histogram redistribution, ridge orientation, and skeletonization. Using this system, the automatic identification of ridges and triradiuses was accomplished with an effective result. The study demonstrated the feasibility of the method and the potential of the system for being applied as an auxiliary diagnostic tool for heredity diseases (e.g. mammary cancer and neurofibromatosis). (c) 2004 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:229 / 235
页数:7
相关论文
共 50 条
  • [1] Edge Detection Methods In Palm-Print Identification
    Akinsowon, O. A.
    Alese, B. K.
    2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST), 2013, : 422 - 426
  • [2] Feature Selection Based Verification/Identification System Using Fingerprints and Palm Print
    Jazzar, Muhanad M.
    Muhammad, Ghulam
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2013, 38 (04) : 849 - 857
  • [3] Feature Selection Based Verification/Identification System Using Fingerprints and Palm Print
    Muhanad M. Jazzar
    Ghulam Muhammad
    Arabian Journal for Science and Engineering, 2013, 38 : 849 - 857
  • [4] Advanced and noval palm image preprocessing methods used by the tumorous dermatoglyphics analysis and detection system
    Li, Z
    Hu, WL
    Zeng, YJ
    Liang, K
    IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2, 2000, : 274 - 275
  • [5] Palm Print Identification Using Fractional Coefficients of Sine/Walsh/Slant Transformed Palm Print Images
    Kekre, H. B.
    Thepade, Sudeep D.
    Viswanathan, Arvind
    Varun, Ashish
    Dhwoj, Pratik
    Kamat, Nikhil
    TECHNOLOGY SYSTEMS AND MANAGEMENT, 2011, 145 : 214 - 220
  • [6] Palm Print Recognition Using Liveness Detection Technique
    Aishwarya, D.
    Gowri, M.
    Saranya, R. K.
    2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM), 2016, : 109 - 114
  • [7] Multimodal biometric identification system based on finger geometry, knuckle print and palm print
    Zhu Le-qing
    Zhang San-yuan
    PATTERN RECOGNITION LETTERS, 2010, 31 (12) : 1641 - 1649
  • [8] Identification of authorship using lateral palm print - a new concept
    Chaudhry, R
    Pant, SK
    FORENSIC SCIENCE INTERNATIONAL, 2004, 141 (01) : 49 - 57
  • [9] An Efficient System for Palm Print Recognition using Ridges
    George, Allen
    Karthick, G.
    Harikumar, R.
    2014 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING APPLICATIONS (ICICA 2014), 2014, : 249 - 253
  • [10] Robust Palm Print and Knuckle Print Recognition System Using a Contactless Approach
    Michael, Goh Kah Ong
    Connie, Tee
    Jin, Andrew Teoh Beng
    ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 1, 2010, : 346 - +