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Article type: Research Article
Authors: Singh, Ashutosha; * | Singh, Yogenrda Narainb
Affiliations: [a] Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology & Management, Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India | [b] Department of Computer Science and Engineering, Institute of Engineering and Technology, Dr. APJ Abdul Kalam Technical University Uttar Pradesh, Lucknow, India
Correspondence: [*] Corresponding author. Ashutosh Singh, Department of Computer Science and Engineering, Babu Banarasi Das Institute of Technology & Management, Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. E-mail: ashu.verve@gmail.com.
Abstract: In recent years, biometrics is most extensively used for people authentication over a range of applications. The growing use of biometrics have raised the issues of security and privacy of the templates stored in the database. Various biometric template protection methods have been presented in the past, but the majority of them require a trade-off between matching efficiency and template security. This paper suggests a hybrid technique of template protection for multibiometric system with improved efficiency and robustness against fraudulent attacks. It works over the fusion of different biometrics, in particular the proposed technique is tested on a multimodal system using face and ECG biometrics. Both biometrics and multimodal templates are processed using domain-specific pre-trained models. The template features are projected in a random subspace using a matrix with standard normally distributed values. It prepares a cancelable template that protects the features of original template. To further enhance the security of the system, the cancelable template is quantized using multi-level random fuzziness technique. Thus, adding a second level of defence against fraudulent attacks. The proposed method reports an optimum accuracy of 99.94% with an equal error rate (EER) off 6 x 10-2.
Keywords: Biometrics, template protection, random projection, random fuzziness
DOI: 10.3233/JIFS-212814
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3155-3171, 2022
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