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14-03-2018 | Methodologies and Application | Issue 11/2019

Soft Computing 11/2019

A novel fuzzy vault scheme based on fingerprint and finger vein feature fusion

Journal:
Soft Computing > Issue 11/2019
Authors:
Lin You, Ting Wang
Important notes
Communicated by V. Loia.
This work was supported by the Key Program of the Natural Science Foundation of Zhejiang province, China (LZ17F020002) and the Natural Science Foundation of China (61272045, 61772166).

Abstract

Template security is a critical issue in biometric systems. As we know, our biometrics will not change when we reach adulthood. What will happen if our biometric template is lost or stolen? The classical fuzzy vault scheme uses a single biological template, and the biological feature parameters are directly present in the fuzzy vault, this will not effectively protect the biological template. To deal with this problem, we propose a novel fuzzy vault scheme based on fingerprint and finger vein feature fusion which can alleviate the limitation of the fuzzy vault using one biological template. It is difficult for attackers to restore each biological template from the fusion template. In addition, the fusion encoding not the feature point parameters is stored in our fuzzy vault, and this fusion encoding will not reveal the information of feature point. Our experiment results show that our scheme can also achieve a high genuine acceptance rate and a low false acceptance rate.

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