A novel cancellable Iris template generation based on salting approach
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A novel cancellable Iris template generation based on salting approach Ahmed A. Asaker 1 & Zeinab F. Elsharkawy 2 O. Zahran 3 & Fathi E. Abd El-Samie 3,4
1
1
& Sabry Nassar & Nabil Ayad &
Received: 10 April 2019 / Revised: 21 December 2019 / Accepted: 3 January 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
The iris has been vastly recognized as one of the powerful biometrics in terms of recognition performance, both theoretically and empirically. However, traditional unprotected iris biometric recognition schemes are highly vulnerable to numerous privacy and security attacks. Several methods have been proposed to generate cancellable iris templates that can be used for recognition; however, these templates achieve lower accuracy of recognition in comparison to traditional unprotected iris templates. In this paper, a novel cancellable iris recognition scheme based on the salting approach is introduced. It
* Zeinab F. Elsharkawy [email protected] Ahmed A. Asaker [email protected] Sabry Nassar [email protected] Nabil Ayad [email protected] O. Zahran [email protected] Fathi E. Abd El-Samie [email protected]
1
Reactors Department, Nuclear Research Center – Egyptian Atomic Energy Authority, Cairo, Egypt
2
Engineering Department, Nuclear Research Center – Egyptian Atomic Energy Authority, Cairo, Egypt
3
Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt
4
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
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depends on mixing the original binary iris code with a synthetic pattern using XOR operation. This scheme guarantees a high degree of privacy/security preservation without affecting the performance accuracy compared to the unprotected traditional iris recognition schemes. Comprehensive experiments on various iris image databases demonstrate similar accuracy to those of the original counterparts. Hence, robustness to several major privacy/security attacks is guaranteed. Keywords Biometrics . Iris recognition . IrisCode . Cancellable biometrics . Advanced encryption standard (AES) . Cover pattern . Hamming distance . Receiver operating characteristic (ROC) curve
1 Introduction Recent years have witnessed rapid adaptation of various biometric systems for trusted automatic human recognition [20, 36]. Biometric traits refer to the physiological or behavioral characteristics of an individual. Many physical characteristics, such as face, fingerprint, finger vein, iris and behavioral characteristics, such as voice and gait are believed to be unique for an individual [12, 18]. However, biometric recognition systems are not accurate enough. There are always some recognition errors for many reasons including imprecision in the biometric acquisition method, intra-class variability or various problems during the a
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