Fusion Fingerprint Minutiae Matching System for Personal Identification

被引：0
|
作者：
Mistry, Pratixa I. [1 ]
Paunwala, Chirag N. [1 ]
机构：
[1] Sarvajanik Coll Engn & Technol, Elect & Commun Dept, Surat, India
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT) | 2013年
关键词：
Biometric; Fingerprint Matching; Delaunay triangle's; Local Binary Pattern;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fingerprint is most popular biometric because it can easily used and its features are highly reliable. Many fingerprint matching algorithm have been reported in literatures and in all most algorithms minutiae matching is used. In this paper modified fusion algorithm is proposed. It uses one technique of structure with Delaunay triangle's based, formed by minutiae, and for matched candidate triangle local ridge texture information is extracted using Local Binary Pattern (LBP). Here triangle matching score is given a full weightage and minutiae matching score is given weightage as per requirement. The experimental results show that proposed algorithm is effective and reliable. Algorithm is tested on a DB1 Database of FVC 2004 competition.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Fusion Fingerprint Minutiae Matching System for Personal Identification
    Mistry, Pratixa I.
    Paunwala, Chirag N.
    2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,
  • [2] A matching algorithm of minutiae for real time fingerprint identification system
    Mohammadi, Shahram
    Frajzadeh, Ali
    World Academy of Science, Engineering and Technology, 2009, 36 : 595 - 599
  • [3] Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification
    Chen, Fanglin
    Huang, Xiaolin
    Zhou, Jie
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (12) : 4964 - 4971
  • [4] Fingerprint Recognition for Person Identification and Verification Based on Minutiae Matching
    Ali, Mouad. M. H.
    Mahale, Vivek H.
    Yannawar, Pravin
    Gaikwad, A. T.
    2016 IEEE 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (IACC), 2016, : 332 - 339
  • [5] Fingerprint minutiae matching algorithm for real time system
    Jie, Y
    Fang, YY
    Zhang, RJ
    Song, QF
    PATTERN RECOGNITION, 2006, 39 (01) : 143 - 146
  • [6] Fingerprint minutiae matching based on Complex Minutiae Vector
    Tong, XF
    Tang, XL
    Huang, JH
    Li, X
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3731 - 3735
  • [7] Minutiae-based Matching State Model for Combinations in Fingerprint Matching System
    Cheng, Xi
    Tulyakov, Sergey
    Govindaraju, Venu
    2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2013, : 92 - 97
  • [8] A Scalable Approach for Fingerprint Matching System based on Minutiae Extraction
    Lavanya, K.
    Krishnamoorthi, M.
    2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2015,
  • [9] Fingerprint matching with minutiae quality score
    Chen, Jiansheng
    Chan, Fai
    Moon, Yiu-Sang
    ADVANCES IN BIOMETRICS, PROCEEDINGS, 2007, 4642 : 663 - +
  • [10] Fingerprint minutiae matching with orientation and ridge
    Cheng, JG
    Tian, J
    Chen, H
    BIOMETRIC AUTHENTICATION, PROCEEDINGS, 2004, 3072 : 351 - 358
12345