Information-Theoretic Analysis of Iris Biometrics for Biometric Cryptography

被引：1

作者：

Adamovic, Sasa ^{[1
]}

Milosavljevic, Milan ^{[1
]}

Veinovic, Mladen ^{[1
]}

Sarac, Marko ^{[1
]}

Jevremovic, Aleksandar ^{[1
]}

机构：

[1] Singidunum Univ, Dept Informat & Comp, 32 Danijelova St, Belgrade 11000, Serbia

来源：

ACTA POLYTECHNICA HUNGARICA | 2017年 / 14卷 / 04期

关键词：

iris biometrics; image analysis; information theory; image texture; biometric cryptosystems;

D O I：

10.12700/APH.14.4.2017.4.3

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a rigorous information-theoretic analysis of iris biometrics with the aim to develop optimized biometric cryptosystems. By estimating local entropy and mutual information, we identify the iris regions that are most suitable for these purposes. Parameter optimization of the appropriate wavelet transform produces higher entropy and low mutual information in the transformation domain. This establishes an effective framework for the development of systems for the extraction of truly random sequences from iris biometrics, while not compromising its proven authentication features.

引用

页码：47 / 62

页数：16

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