Comparative Analysis of Fingerprint Orientation Field Algorithms

被引：3
|
作者：
Chen, Dahai [1 ]
Ji, Xiang [2 ]
Fan, Feng [1 ]
Zhang, Jun [1 ]
Guo, Lei [2 ]
Meng, Weihua [1 ]
机构：
[1] CAMA Luoyang Elect Co Ltd, Luoyang 471000, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China
来源：
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS (ICIG 2009) | 2009年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICIG.2009.95
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint pre-processing, this paper analyzes in detail the performance of these two algorithms.
引用
收藏
页码：796 / 801
页数：6
相关论文
共 50 条
  • [31] Method for fingerprint orientation field reconstruction from minutia template
    Liu, E.
    Zhao, H.
    Pang, L.
    Cao, K.
    Liang, J.
    Tian, J.
    ELECTRONICS LETTERS, 2011, 47 (02) : 98 - +
  • [32] OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction
    Qu, Zhenshen
    Liu, Junyu
    Liu, Yang
    Guan, Qiuyu
    Yang, Chunyu
    Zhang, Yuxin
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III, 2018, 11141 : 436 - 446
  • [33] Fingerprint Singular Point Detection Using Orientation Field Reliability
    Kumar, Ravinder
    Chandra, Pravin
    Hanmandlu, M.
    MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 4499 - +
  • [34] Estimation of Fingerprint Orientation Field Based on Improved Structure Tensor
    Chen, Gong
    Xie, Mei
    Yu, Yu
    ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 1, 2012, 159 : 507 - 512
  • [35] Correlation-based fingerprint matching with orientation field alignment
    Lindoso, Almudena
    Entrena, Luis
    Liu-Jimenez, Judith
    Millan, Enrique San
    ADVANCES IN BIOMETRICS, PROCEEDINGS, 2007, 4642 : 713 - +
  • [36] Optimization of the Calculation of Time Orientation Field and Binarization of Fingerprint Images
    Medeiros, L. X.
    Flores, E. L.
    Carrijo, G. A.
    Veiga, A. C. P.
    IEEE LATIN AMERICA TRANSACTIONS, 2011, 9 (05) : 868 - 874
  • [37] Model-based orientation field estimation for fingerprint recognition
    Gu, JW
    Zhou, J
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS, 2003, : 899 - 902
  • [38] Computation on fingerprint orientation field based on direction weight diffusion
    Li H.
    Liu Y.
    Chen A.
    Zong R.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2019, 47 (04): : 127 - 132
  • [39] Comparative analysis of multiscale Gaussian random field simulation algorithms
    Kramer, Peter R.
    Kurbanmuradov, Orazgeldi
    Sabelfeld, Karl
    JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 226 (01) : 897 - 924
  • [40] Fingerprint Classification Based on Continuous Orientation Field and Singular Points
    Wang, Xiuyou
    Wang, Feng
    Fan, Jianzhong
    Wang, Jiwen
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 4, 2009, : 189 - +
12345