FINGERPRINT SEGMENTATION: AN INVESTIGATION OF VARIOUS TECHNIQUES AND A PARAMETER STUDY OF A VARIANCE-BASED METHOD

被引：0
|
作者：
Msiza, Ishmael S. [1 ]
Mathekga, Mmamolatelo E. [1 ]
Nelwamondo, Fulufhelo V. [1 ,2 ]
Marwala, Tshilidzi [2 ]
机构：
[1] CSIR, Biometr Res Grp, ZA-0001 Pretoria, South Africa
[2] Univ Johannesburg, Fac Engn & Built Environm, ZA-2006 Auckland Pk, South Africa
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2011年 / 7卷 / 09期
关键词：
Segmentation; Gray-level variance; Pixel-block size; Variance threshold; ALGORITHM; IMAGES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fingerprint image segmentation plays an important role in any fingerprint image analysis implementation and it should, ideally, be executed during the initial stages of a fingerprint manipulation process. After careful consideration of various fingerprint segmentation approaches, this manuscript focuses on a block-wise method that is based on the gray-level variance of the image. Because the method of interest is subjected to a number of variable parameters, this document then presents a formal study of these parameters, using a carefully chosen set of experiments. This series of experiments is conducted on database Db 1_a of the 2002 version of the Fingerprint Verification Competition (FVC2002).
引用
收藏
页码：5313 / 5326
页数：14
相关论文
共 50 条
  • [1] Variance-based fingerprint distance adjustment algorithm for indoor localization
    Xu, Xiaolong
    Tang, Yu
    Wang, Xinheng
    Zhang, Yun
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2015, 26 (06) : 1191 - 1201
  • [2] Shape Variance-Based Feature Extraction for Biometric Fingerprint Analysis
    Gavrilescu, Marius
    2021 25TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2021, : 515 - 518
  • [3] Variance-based fingerprint distance adjustment algorithm for indoor localization
    Xiaolong Xu
    Yu Tang
    Xinheng Wang
    Yun Zhang
    JournalofSystemsEngineeringandElectronics, 2015, 26 (06) : 1191 - 1201
  • [4] Parameter uncertainty effects on variance-based sensitivity analysis
    Yu, W.
    Harris, T. J.
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2009, 94 (02) : 596 - 603
  • [5] Efficient method for variance-based sensitivity analysis
    Chen, Xin
    Molina-Cristobal, Arturo
    Guenov, Marin D.
    Riaz, Atif
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 181 : 97 - 115
  • [6] An efficient sampling method for variance-based sensitivity analysis
    Yun, Wanying
    Lu, Zhenzhou
    Zhang, Kaichao
    Jiang, Xian
    STRUCTURAL SAFETY, 2017, 65 : 74 - 83
  • [7] Two-dimensional extension of variance-based thresholding for image segmentation
    Fangyan Nie
    Yonglin Wang
    Meisen Pan
    Guanghan Peng
    Pingfeng Zhang
    Multidimensional Systems and Signal Processing, 2013, 24 : 485 - 501
  • [8] Segmentation of Fingerprint Images Based on Variance and Gradient factor
    Li, Hui
    He, Rongbo
    Liu, Peizhuo
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2012), 2013, 8768
  • [9] Two-dimensional extension of variance-based thresholding for image segmentation
    Nie, Fangyan
    Wang, Yonglin
    Pan, Meisen
    Peng, Guanghan
    Zhang, Pingfeng
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2013, 24 (03) : 485 - 501
  • [10] An Improved Fingerprint Image Segmentation Algorithm Base on Variance Method
    Su, Yongli
    Zhang, Bo
    Zhang, Shuling
    PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL II: INFORMATION SCIENCE AND ENGINEERING, 2008, : 287 - 291
12345