2021 International Conference on Electronic Engineering (ICEEM)
Cancelable Biometric System for face Recognition System Based on Regularized Restoration Model.
Oral Presentation , Page 205-209 (5) XML
Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021
Authors
1Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt
2Minufia- Egypt
3Menouf
Abstract
Abstract: Now we use the biometric systems instead of password or token in authentication systems in many fields to improve the security level. The advantage of the biometric system is that it cannot be lost because it is a part of the human body. The aim of this work is to secure the biometrics by encrypting and saving them in the database to save them from hackers. If the biometrics are stolen we cannot take advantage of them again. So even if they are stolen or hacked up we can reuse them agin by changing there encrytption. This paper suggests a scheme for biometric encrytption by using cancelable biometric for face based on regularization approach. This scheme begins with adding noise to the original face and applying regularization to the face image to obtain face image with magnified fixed noise pattern.
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