2021 International Conference on Electronic Engineering (ICEEM)
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Efficient Implementation of Radon Transform and Encryption Techniques for Cancelable Speaker Identification
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Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021
Authors
1Communication, Engineering , Menoufia University , Menouf
2Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt
3Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt
4Minufia- Egypt
Abstract
Biometric systems are widely used now for security applications. Two major problems are encountered in biometric systems: the security problem and the dependence on a single biometric for verification. The security problem arises from the utilization of the original biometrics in databases. So, if these databases are attacked, the biometrics are lost forever. Hence, there is a need to secure original biometrics by keeping them away from utilization in biometric databases. Cancelable biometrics is an emerging security trend in the field of biometric authentication. Cancelable biometric systems depend on the transformation of biometric features into new formats so that users can replace their biometric templates in the same or different systems. This paper introduces three cancelable speaker identification systems based on Chaotic encryption process, RSA algorithm and Radon transform to produce cancelable templates instead of original templates. The resulting transformed versions of the voice biometrics are stored in the server instead of the original biometrics. So, the users' privacy can be protected well. The simulations results obtained for performance evaluation show that the proposed algorithm is safe, reliable, and feasible. It has good encryption and cancelability that reveal good performance .
In the experimental results, we calculate the EER, FRR, FAR, and AROC values for the proposed work. Also, we estimate the genuine and impostor distributions and the ROC curve.
Keywords