A study on fingerprint repair algorithm

被引:0
|
作者
An, Qingmin [1 ]
Wu, Mingguang [1 ]
Wang, Li [2 ]
机构
[1] Zhejiang Univ, Inst Syst Engn, Hangzhou 310027, Peoples R China
[2] Shandong Univ, Tradit China Med, Jinan 250014, Peoples R China
来源
ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS | 2007年
关键词
post-processing; fingerprint recognition; false characteristic; repair algorithm; ridge tracking;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fingerprint repair is the post-processing stage of fingerprint recognition process, in which false characteristics left in the thinned pictures will be eliminated. A new fingerprint repair algorithm is proposed in this paper. In order to clear off false characteristics and repair the thinned image, a technology called ridge tracking is used to find out all the ridges on the image and then deal with them. Not only the lengths of the ridges but also their initial points and terminations are adopted to clear off false characteristics such as eyelet, short ridge, bridge, burr, ridge break and so on. The algorithm is realized through C++ programme design, mainly using the standard template library of it. The simulation results at the end have shown almost all false characteristics in the experiments are eliminated, which indicates the proposed algorithm is very effective.
引用
收藏
页码:2649 / +
页数:2
相关论文
共 50 条
  • [31] Using Simulink HDL Coder to implement a Fingerprint Recognition Algorithm into an FPGA
    Arjona, Rosario
    Baturone, Iluminada
    2020 XIV TECHNOLOGIES APPLIED TO ELECTRONICS TEACHING CONFERENCE (TAEE2020), 2020,
  • [32] Reinforcement Algorithm-Guided ROI Extraction of Fingerprint Biometric Data
    Peddi, Santhoshkumar
    Ranjan, Alka
    Raj, Mahajan Rohan
    Prakash, Nishkal
    Sharma, Monalisa
    Samanta, Debasis
    COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT I, 2024, 2009 : 394 - 405
  • [33] An algorithm for distorted fingerprint matching based on local triangle feature set
    Chen, Xinjian
    Tian, Jie
    Yang, Xin
    Zhang, Yangyang
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2006, 1 (02) : 169 - 177
  • [34] A hybrid approach of gravitational search algorithm and ant miner plus for fingerprint recognition
    Kumar, Mahesh
    Kumar, Devender
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2023, 34 (04):
  • [35] Densely Connected Convolutional Network Optimized by Genetic Algorithm for Fingerprint Liveness Detection
    Jian, Wen
    Zhou, Yujie
    Liu, Hongming
    IEEE ACCESS, 2021, 9 (09): : 2229 - 2243
  • [36] A NOVEL ALGORITHM FOR FINGERPRINT SINGULAR POINTS DETECTION BASED ON VECROT ORTHOGONAL THEORY
    Yin, Hang
    Jing, Xiaojun
    Sun, Songlin
    2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS, 2011, : 486 - 489
  • [37] A New RBFN with Modified Optimal Clustering Algorithm for Clear and Occluded Fingerprint Identification
    Kundu, Sumana
    Sarker, Goutam
    2016 2ND INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC), 2016, : 125 - 129
  • [38] A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition in Online Examination System
    Chen Yu
    Zhang Jian
    Yi Bo
    Chen Deyun
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 182 - +
  • [39] Study on fingerprint authentication systems using convolutional neural networks
    Moga, Delia
    Filip, Ioan
    IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2021), 2021, : 15 - 20
  • [40] A COMPARATIVE STUDY ON QUALITY ASSESSMENT OF HIGH RESOLUTION FINGERPRINT IMAGES
    Zhao, Qijun
    Liu, Feng
    Zhang, Lei
    Zhang, David
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3089 - 3092