AUTOMATED FINGERPRINT RECOGNITION USING STRUCTURAL MATCHING

被引：152
|
作者：
HRECHAK, AK
MCHUGH, JA
机构：
[1] Department of Computer and Information Science, New Jersey Institute of Technology, Newark
来源：
PATTERN RECOGNITION | 1990年 / 23卷 / 08期
关键词：
Feature extraction; Fingerprint recognition; Identification; Image processing; Partitioning; Structural matching;
D O I：
10.1016/0031-3203(90)90134-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automated fingerprint recognition has received considerable attention over the past decade. Progress has been made on models of the structure of fingerprints, techniques for the acquisition of prints, and the development of commercial automated fingerprint recognition systems. Despite these advances, there remain considerable opportunities for improvement. The speed of retrieval, and the ability to recognize partial or distorted prints are prominent among those areas that require improvement. This study will describe a structural model of fingerprints, based on local structural relations among features, and an associated automated recognition system which addresses the limitations of existing fingerprint models. © 1990.
引用
收藏
页码：893 / 904
页数：12
相关论文
共 50 条
  • [1] Fingerprint recognition system using hybrid matching techniques
    Youssif, Aliaa A. A.
    Chowdhury, Morshed U.
    Ray, Sid
    Nafaa, Howida Youssry
    [J]. 6TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE, PROCEEDINGS, 2007, : 234 - +
  • [2] New approach of automated fingerprint matching
    Tico, M
    Kuosmanen, P
    [J]. REAL-TIME IMAGING V, 2001, 4303 : 115 - 126
  • [3] An automated matching technique for fingerprint identification
    Mital, DP
    Teoh, EK
    [J]. FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, PROCEEDINGS 1997 - KES '97, VOLS 1 AND 2, 1997, : 142 - 147
  • [4] An automated matching technique for fingerprint identification
    Mital, DP
    Teoh, EK
    [J]. PROCEEDINGS OF THE 1996 IEEE IECON - 22ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS, CONTROL, AND INSTRUMENTATION, VOLS 1-3, 1996, : 806 - 811
  • [5] An automated matching technique for fingerprint identification
    Mital, DP
    Teoh, EK
    [J]. ETFA '96 - 1996 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, VOLS 1 AND 2, 1996, : 87 - 92
  • [6] Automated Latent Fingerprint Recognition
    Cao, Kai
    Jain, Anil K.
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 41 (04) : 788 - 800
  • [7] Direct Pore Matching for Fingerprint Recognition
    Zhao, Qijun
    Zhang, Lei
    Zhang, David
    Luo, Nan
    [J]. ADVANCES IN BIOMETRICS, 2009, 5558 : 597 - 606
  • [8] Minutiae Matching Algorithm using Artificial Neural Network for Fingerprint Recognition
    Hariyanto
    Sudiro, Sunny Arief
    Lukman, Saepul
    [J]. 2015 THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2015), 2015, : 37 - 41
  • [9] Novel approach to automated fingerprint recognition
    Wahab, A
    Chin, SH
    Tan, EC
    [J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1998, 145 (03): : 160 - 166
  • [10] Security and matching of partial fingerprint recognition systems
    Jea, TY
    Chavan, VS
    Govindaraju, V
    Schneider, JK
    [J]. BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION, 2004, 5404 : 39 - 50
12345