Minutiae Based Fingerprint Image Hashing

被引：0

作者：

Muthu, Rajesh ^{[1
]}

Bouridane, Ahmed ^{[1
]}

Khelifi, Fouad ^{[1
]}

机构：

[1] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

来源：

2014 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2014年

关键词：

Minutiae; feature extraction; shape contexts; fingerprint image hashing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.

引用

页码：696 / 700

页数：5

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