Cancelable Biometric System for face Based on linear minimum mean square error Model.
Hsaneen, A., El-Rabaei, E., Dessouky, M., El-bamby, G., Abd El-Samie, F., Mohamed, A. (2019). Cancelable Biometric System for face Based on linear minimum mean square error Model.. EKB Journal Management System, 28(ICEEM2019-Special Issue), 145-152. doi: 10.21608/mjeer.2019.76994
Abd El-aziz Ebrahim Hsaneen; EL-Sayed M. El-Rabaei; Moawad I. Dessouky; Ghada El-bamby; Fathi E. Abd El-Samie; Abd El-hamid Mohamed. "Cancelable Biometric System for face Based on linear minimum mean square error Model.". EKB Journal Management System, 28, ICEEM2019-Special Issue, 2019, 145-152. doi: 10.21608/mjeer.2019.76994
Hsaneen, A., El-Rabaei, E., Dessouky, M., El-bamby, G., Abd El-Samie, F., Mohamed, A. (2019). 'Cancelable Biometric System for face Based on linear minimum mean square error Model.', EKB Journal Management System, 28(ICEEM2019-Special Issue), pp. 145-152. doi: 10.21608/mjeer.2019.76994
Hsaneen, A., El-Rabaei, E., Dessouky, M., El-bamby, G., Abd El-Samie, F., Mohamed, A. Cancelable Biometric System for face Based on linear minimum mean square error Model.. EKB Journal Management System, 2019; 28(ICEEM2019-Special Issue): 145-152. doi: 10.21608/mjeer.2019.76994

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

Menoufia Journal of Electronic Engineering Research
Article 49, Volume 28, ICEEM2019-Special Issue, 2019, Page 145-152  XML
Document Type: Original Article
DOI: 10.21608/mjeer.2019.76994
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Authors
Abd El-aziz Ebrahim Hsaneen1; EL-Sayed M. El-Rabaei1; Moawad I. Dessouky1; Ghada El-bamby1; Fathi E. Abd El-Samie1; Abd El-hamid Mohamed2
1Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt
2Communications 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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