Predicting Iris Vulnerability to Direct Attacks Based on Quality Related Features

被引：0

作者：

Ortiz-Lopez, Jaime ^{[1
]}

Galbally, Javier ^{[1
]}

Fierrez, Julian ^{[1
]}

Ortega-Garcia, Javier ^{[1
]}

机构：

[1] Univ Autonoma Madrid, ATVS Biometr Recognit Grp, EPS, E-28049 Madrid, Spain

来源：

2011 IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST) | 2011年

关键词：

Security; Vulnerability; Iris recognition; Quality assessment; BIOMETRICS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A new vulnerability prediction scheme for direct attacks to iris recognition systems is presented. The objective of the novel technique, based on a 22 quality related parameterization, is to discriminate beforehand between real samples which are easy to spoof and those more resistant to this type of threat. The system is tested on a database comprising over 1,600 real and fake iris images proving to have a high discriminative power reaching an overall rate of 84% correctly classified real samples for the dataset considered. Furthermore, the detection method presented has the added advantage of needing just one iris image (the same used for verification) to decide its degree of robustness against spoofing attacks.

引用

页数：6

共 34 条

[1] Iris quality assessment and bi-orthogonal wavelet based encoding for recognition [J].

Abhyankar, Aditya ;

Schuckers, Stephanie .

PATTERN RECOGNITION, 2009, 42 (09) :1878-1894

[2] A comparative study of fingerprint image-quality estimation methods [J].

Alonso-Fernandez, Fernando ;

Fierrez, Julian ;

Ortega-Garcia, Javier ;

Gonzalez-Rodriguez, Joaquin ;

Fronthaler, Hartwig ;

Kollreider, Klaus ;

Bigun, Josef .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2007, 2 (04) :734-743

[3]

[Anonymous], ANSI X9 84 2001 BIOM

[4] Image understanding for iris biometrics: A survey [J].

Bowyer, Kevin W. ;

Hollingsworth, Karen ;

Flynn, Patrick J. .

COMPUTER VISION AND IMAGE UNDERSTANDING, 2008, 110 (02) :281-307

[5]

Chen Y, 2006, LECT NOTES COMPUT SC, V3832, P373

[6] How iris recognition works [J].

Daugman, J .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2004, 14 (01) :21-30

[7] Feature correlation evaluation approach for iris feature quality measure [J].

Du, Yingzi ;

Belcher, Craig ;

Zhou, Zhi ;

Ives, Robert .

SIGNAL PROCESSING, 2010, 90 (04) :1176-1187

[8] Biosec baseline corpus: A multimodal biometric database [J].

Fierrez, Julian ;

Ortega-Garcia, Javier ;

Torre Toledano, Doroteo ;

Gonzalez-Rodriguez, Joaquin .

PATTERN RECOGNITION, 2007, 40 (04) :1389-1392

[9] Evaluation of direct attacks to fingerprint verification systems [J].

Galbally, J. ;

Fierrez, J. ;

Alonso-Fernandez, F. ;

Martinez-Diaz, M. .

TELECOMMUNICATION SYSTEMS, 2011, 47 (3-4) :243-254

[10]

GALBALLY J, 2011, P INT JOINT C UNPUB

← 1 2 3 4 →