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
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