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

页码：5313 / 5326

页数：14

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