Publication Type : Conference Paper
Publisher : IEEE
Source : 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 0071-0075 doi: 10.1109/ICCSP48568.2020.9182200.
Url : https://ieeexplore.ieee.org/abstract/document/9182200
Campus : Coimbatore
School : School of Engineering
Year : 2020
Abstract : Biometrics is the most reliable way of identification of a person. Storing this information in a normal database makes it prone to security risks. Therefore it is of utmost importance that the biometric template that is stored in the database is secure. Hence we propose a way to integrate security to the Iris templates that are stored in the database using cancelable biometrics. We have used the p-hidden negative database (NDB) algorithm which provides Irreversibility, Revocability and Renewability, and Unlinkability. Reversing the NDB is an NP-hard problem and can be used to provide security to the Iris templates.
Cite this Research Publication : A. Anand, S. Ramkumar, V. Akshaya Kumar, K. Vinoth and J. Aravinth., "Secure Iris Recognition using Negative Database," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 0071-0075 doi: 10.1109/ICCSP48568.2020.9182200.