Cancelable Biometric System for face Based on linear minimum mean square error Model.

Document Type : Original Article

Authors

1 Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

2 Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf

Abstract

Now-a-days biometric systems have replaced the password or token based authentication system in many fields to improve the security level. However, biometric system is also vulnerable to security threats. Unlike password based system, biometric templates cannot be replaced if lost or compromised. To deal with the issue of the compromised biometric template, template protection schemes evolved to make it possible to replace the biometric template. Cancelable biometric is such a template protection scheme that replaces a biometric template when the stored template is stolen or lost. It is a feature domain transformation where a distorted version of a biometric templates generated and matched in the transformed domain .This paper presents a scheme for cancelable face recognition based on linear minimum mean square error This scheme begins with add noise to the original face and applied LMMSE to the face image to obtain face image with magnified fixed noise pattern.

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 145-152

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