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Hybrid Multimodal Biometric Template Protection

Naima Bousnina1, Sanaa Ghouzali2,*, Mounia Mikram1,3, Maryam Lafkih1, Ohoud Nafea4, Muna Al-Razgan2, Wadood Abdul4

1 LRIT—CNRST URAC No. 29, IT Center, Faculty of Sciences, Mohammed V University, Rabat, 10000, Morocco
2 Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
3 Meridian Team, LYRICA Laboratory, School of Information Sciences, Rabat, 10000, Morocco
4 Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia

* Corresponding Author: Sanaa Ghouzali. Email: email

(This article belongs to the Special Issue: Soft Computing in Intrusion Detection)

Intelligent Automation & Soft Computing 2021, 27(1), 35-51.


Biometric template disclosure starts gaining an important concern in deploying practical biometric authentication systems, where an assailant compromises the database for illegitimate access. To protect biometric templates from disclosure attacks, biometric authentication systems should meet these four requirements: security, diversity, revocability, and performance. Different methods have been suggested in the literature such as feature transformation techniques and biometric cryptosystems. However, no single method could satisfy the four requirements, giving rise to the deployment of hybrid mechanisms. In this context, the current paper proposes a hybrid system for multimodal biometric template protection to provide robustness against template database attacks. Herein, a secure sketch method is first applied to secure the fingerprint modality. Subsequently, a Dual-Tree Complex Wavelet Transform Discrete Cosine Transform (DTCWT-DCT) based watermarking is employed to entrench the fingerprint sketch into the face image. However, a 3D chaotic-map-based encryption method is employed to protect the watermarked facial image in order to offer an added security level. The experimentation performed using the ORL face database and three Fingerprint Verification Competition (FVC) fingerprint databases showed the approach’s efficiency in withstanding standard digital image watermarking attacks, brute force attacks, and information leakage. Moreover, the results revealed that the approach achieves high performance, and satisfies diversity and revocability requirements.


Cite This Article

APA Style
Bousnina, N., Ghouzali, S., Mikram, M., Lafkih, M., Nafea, O. et al. (2021). Hybrid multimodal biometric template protection. Intelligent Automation & Soft Computing, 27(1), 35-51.
Vancouver Style
Bousnina N, Ghouzali S, Mikram M, Lafkih M, Nafea O, Al-Razgan M, et al. Hybrid multimodal biometric template protection. Intell Automat Soft Comput . 2021;27(1):35-51
IEEE Style
N. Bousnina et al., "Hybrid Multimodal Biometric Template Protection," Intell. Automat. Soft Comput. , vol. 27, no. 1, pp. 35-51. 2021.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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