Secure Cancelable Template Based on Double Random Phase Encoding and Entropy Segmentation  

作　　者：Ahmed M.Ayoup Ashraf A.M.Khalaf Fathi E.Abd El-Samie Fahad Alraddady Salwa M.Serag Eldin 

机构地区：[1]Faculty of Engineering,Electrical Engineering Department,Minia University,Minia,61111,Egypt [2]Department of Electronics and Electrical Communications Engineering,Faculty of Electronic Engineering,Menoufia University,Menoufia,32952,Egypt [3]Department of Computer Engineering,College of Computers and Information Technology,Taif University,Taif 21944,Saudi Arabia

出　　处：《Computers, Materials & Continua》2022年第11期4067-4085,共19页计算机、材料和连续体（英文）

基　　金：This study was funded by the Dean of the Faculty of Scientific Research,Taif University Research Support Project(TURSP2020/214),Taif University,Taif,Saudi Arabia.

摘　　要：In this paper,a proposed cancellable biometric scheme is based on multiple biometric image identifiers,Arnold’s cat map and double random phase encoding(DRPE)to obtain cancellable biometric templates.The proposed segmentation scheme that is used to select the region of interest for generating cancelable templates is based on chaos entropy low correlation statistical metrics.The objective of segmentation is to reduce the computational cost and reliability of template creation.The left and right biometric(iris,fingerprint,palm print and face)are divided into non-overlapping blocks of the same dimensions.To define the region of interest(ROI),we select the block with the highest entropy.To shorten the registration process time and achieve a high level of security,we select 25%of the image volume of the biometric data.In addition,the low-cost security requirement lies in the use of selective encryption(SE)technology.The step of selecting the maximum entropy is executed on all biometric blocks.The maximum right and left multi-biometric blocks are arranged in descending order from the entropy perspective and select 50%of each biometric couple and store the single matrix.The obtained matrix is scrambled with a certain number of iterations using Arnold’s Cat Map(ACM).The obtained scrambled matrix is encrypted with the DRPE to generate the cancellable biometric templates,which are further concatenated.The simulation results display better performance of the suggested cancellable biometric system in noise scenarios using the area under the receiver operating characteristic(AROC).The strength of the suggested technique is examined with correlation,irregular deviation,maximum difference and maximum deviation.The recommended proposed approach shows that the ability to distinguish the authentic and imposter biometrics of user seven in different levels of the noise environment.

关 键 词：Image identifier computation segmentation ACM (DRPE) 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]