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Entropy
Volume 22
Issue 12
10.3390/e22121361
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Article

Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

by
Abeer D. Algarni
1,
Ghada El Banby
2,
Sahar Ismail
1,3,
Walid El-Shafai
4,*,
Fathi E. Abd El-Samie
4 and
Naglaa F. Soliman
1,5
1
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia
2
Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt
3
Electrical Engineering Department, Faculty of Engineering-Shoubra, Benha University, Cairo 11629, Egypt
4
Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt
5
Department of Electronics and Communications, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(12), 1361; https://doi.org/10.3390/e22121361
Submission received: 8 August 2020 / Revised: 21 September 2020 / Accepted: 2 October 2020 / Published: 30 November 2020
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Abstract

The security of information is necessary for the success of any system. So, there is a need to have a robust mechanism to ensure the verification of any person before allowing him to access the stored data. So, for purposes of increasing the security level and privacy of users against attacks, cancelable biometrics can be utilized. The principal objective of cancelable biometrics is to generate new distorted biometric templates to be stored in biometric databases instead of the original ones. This paper presents effective methods based on different discrete transforms, such as Discrete Fourier Transform (DFT), Fractional Fourier Transform (FrFT), Discrete Cosine Transform (DCT), and Discrete Wavelet Transform (DWT), in addition to matrix rotation to generate cancelable biometric templates, in order to meet revocability and prevent the restoration of the original templates from the generated cancelable ones. Rotated versions of the images are generated in either spatial or transform domains and added together to eliminate the ability to recover the original biometric templates. The cancelability performance is evaluated and tested through extensive simulation results for all proposed methods on a different face and fingerprint datasets. Low Equal Error Rate (EER) values with high AROC values reflect the efficiency of the proposed methods, especially those dependent on DCT and DFrFT. Moreover, a comparative study is performed to evaluate the proposed method with all transformations to select the best one from the security perspective. Furthermore, a comparative analysis is carried out to test the performance of the proposed schemes with the existing schemes. The obtained outcomes reveal the efficiency of the proposed cancelable biometric schemes by introducing an average AROC of 0.998, EER of 0.0023, FAR of 0.008, and FRR of 0.003.
Keywords: cancelable biometrics; discrete transforms; matrix rotation; DFT; DCT; FrFT; DWT cancelable biometrics; discrete transforms; matrix rotation; DFT; DCT; FrFT; DWT

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MDPI and ACS Style

Algarni, A.D.; El Banby, G.; Ismail, S.; El-Shafai, W.; El-Samie, F.E.A.; F. Soliman, N. Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications. Entropy 2020, 22, 1361. https://doi.org/10.3390/e22121361

AMA Style

Algarni AD, El Banby G, Ismail S, El-Shafai W, El-Samie FEA, F. Soliman N. Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications. Entropy. 2020; 22(12):1361. https://doi.org/10.3390/e22121361

Chicago/Turabian Style

Algarni, Abeer D., Ghada El Banby, Sahar Ismail, Walid El-Shafai, Fathi E. Abd El-Samie, and Naglaa F. Soliman. 2020. "Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications" Entropy 22, no. 12: 1361. https://doi.org/10.3390/e22121361

APA Style

Algarni, A. D., El Banby, G., Ismail, S., El-Shafai, W., El-Samie, F. E. A., & F. Soliman, N. (2020). Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications. Entropy, 22(12), 1361. https://doi.org/10.3390/e22121361

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