Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4920
Title: Fingerprint shell with impregnable features
Authors: Prakash, Surya
Keywords: Authentication;Biometrics;Diversity;Fingerprint;Minutiae;Revocability;Template securities;Database systems
Issue Date: 2019
Publisher: IOS Press
Citation: Ali, S. S., Ganapathi, I. I., & Prakash, S. (2019). Fingerprint shell with impregnable features. Journal of Intelligent and Fuzzy Systems, 36(5), 4091-4104. doi:10.3233/JIFS-169969
Abstract: Authentication based on utilization of fingerprint has become highly popular. Generally, minutiae points information obtained from the fingerprints is stored into the database. Various research works depict that by utilizing minutiae points information, original fingerprints reconstruction is possible. Adversary can obtain the user template through an attack on the database. If minutiae template of a user is compromised, then the adversary can construct original fingerprint of the user. In order to avoid this, it is essential to secure the fingerprint information. To achieve this, a technique called 3-Dimensional Secured Fingerprint Shell has been presented by Ali and Prakash, in this technique they generate a 3-dimensional spiral curve, however, ridge counts between singular and minutiae points are not secure in this technique. In the proposed technique we construct an extremely secure and efficient template for a user, by securing all features of the fingerprint used for template generation. The proposed technique is robust against the effects of rotation as well as translation and meets the essential requirements of an efficient authentication system. We evaluated the proposed technique by utilizing FVC2000, FVC2002, FVC2004, and IIT Kanpur fingerprint databases. The results obtained for the proposed technique are highly encouraging, that shows its robustness. © 2019 - IOS Press and the authors.
URI: https://doi.org/10.3233/JIFS-169969
https://dspace.iiti.ac.in/handle/123456789/4920
ISSN: 1064-1246
Type of Material: Journal Article
Appears in Collections:Department of Computer Science and Engineering

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