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https://dspace.iiti.ac.in/handle/123456789/4832
Title: | A novel technique for fingerprint based secure user authentication |
Authors: | Baghel, Vivek Singh Prakash, Surya |
Keywords: | Biometrics;Database systems;Electronic document identification systems;Feature extraction;Palmprint recognition;Code;Features extraction;Fingerprint;Fingerprint Recognition;Performance;Privacy;Recognition;Revocablity;Security;User template;Authentication |
Issue Date: | 2021 |
Publisher: | IEEE Computer Society |
Citation: | Ali, S. S., Baghel, V. S., Ganapathi, I. I., Prakash, S., Vu, S., & Werghi, N. (2021). A novel technique for fingerprint based secure user authentication. IEEE Transactions on Emerging Topics in Computing, doi:10.1109/TETC.2021.3130126 |
Abstract: | Fingerprint biometrics are extremely popular among digital identity systems for authentication. Most fingerprint based authentication systems store unique minutiae points information of a user directly in the database as their template. An adversary can potentially attack the user template that could compromise information of minutiae points. It has been proven that a fingerprint can be reconstructed from minutiae points and hence there is an important requirement in fingerprint based biometric systems to provide protection and privacy. This paper introduces a novel technique to provide enhanced protection for fingerprint based biometrics, taking into account the attributes of minutiae point, the ridge count between the neighbouring minutiae points and the local minutiae point structure. The proposed technique has been implemented and tested on a total of nine fingerprint databases of varying quality. In comparison to the other existing techniques under different scenarios, the proposed technique exhibits superior recognition performance. The proposed technique is a singular point independent and has shown high stability, robustness, and security. IEEE |
URI: | https://doi.org/10.1109/TETC.2021.3130126 https://dspace.iiti.ac.in/handle/123456789/4832 |
ISSN: | 2168-6750 |
Type of Material: | Journal Article |
Appears in Collections: | Department of Computer Science and Engineering |
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