arrow
Return

Robust biometric authentication system with a secure user template

delete2020-12-01
delete21
PRE
AI
S
Syed Sadaf Ali
V
Vivek Singh Baghel
I
Iyyakutti Iyappan Ganapathi
S
Surya Prakash *
DOI:10.1016/j.imavis.2020.104004delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Biometric feature based human authentication systems provide various advantages over the classical authentication systems. Out of numerous biometric features in a human body, the fingerprint is the most commonly used biometric feature for the authentication of a person. Typically, the fingerprint-based systems rely on minutiae points information and use it directly as a user template. Several studies have shown that the use of minutiae points directly as a user template is unreliable as it may lead to the reconstruction of the original fingerprint. As databases are vulnerable to attacks, it is important to secure fingerprint information. In this paper, we propose a technique in which a strong 3-dimensional template is created from the fingerprint of a user. From the minutiae points of the fingerprint, minutiae triplets are computed, through which a secured user template is generated. The user template developed using the proposed technique is found to be robust and shows good revocability, diversity, security, and performance. The experimental results obtained on various fingerprint databases are extremely encouraging and demonstrate the effectiveness of the proposed technique. (c) 2020 Elsevier B.V. All rights reserved.
Keywords:
Authentication
Security
Fingerprint
Biometric
Pattern recognition
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

Organization

I
indian institute of technology system (iit system)
Scholars:
9.5W
Papers: 9.9W
Citations: 93