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Innovative Hetero-Associative Memory Encoder(HAMTE)for Palmprint Template Protection

作     者:Eslam Hamouda Mohamed Ezz Ayman Mohamed Mostafa Murtada K.Elbashir Meshrif Alruily Mayada Tarek 

作者机构:College of Computer and Information SciencesJouf UniversitySakaka72314Saudi Arabia College of Computers and InformaticsMansoura University35516Egypt 

出 版 物:《Computer Systems Science & Engineering》 (计算机系统科学与工程(英文))

年 卷 期:2023年第46卷第7期

页      面:619-636页

核心收录:

学科分类:0710[理学-生物学] 0831[工学-生物医学工程(可授工学、理学、医学学位)] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:This work was funded by the Deanship of Scientific Research at Jouf University under Grant No.(DSR-2022-RG-0104) 

主  题:Palmprint recognition hetero-associative memory neural network and Siamese network 

摘      要:Many types of research focus on utilizing Palmprint recognition in user identification and *** Palmprint is one of biometric authentication(something you are)invariable during a person’s life and needs careful protection during enrollment into different biometric authentication *** and irreversibility are critical requirements for securing the Palmprint template during enrollment and *** paper proposes an innovative HAMTE neural network model that contains Hetero-Associative Memory for Palmprint template translation and projection using matrix multiplication and dot product multiplication.A HAMTE-Siamese network is constructed,which accepts two Palmprint templates and predicts whether these two templates belong to the same user or different *** HAMTE is generated for each user during the enrollment phase,which is responsible for generating a secure template for the enrolled *** proposed network secures the person’s Palmprint template by translating it into an irreversible template(different features space).It can be stored safely in a trusted/untrusted third-party authentication system that protects the original person’s template from being *** results are conducted on the CASIA database,where the proposed network achieved accuracy close to the original accuracy for the unprotected Palmprint *** recognition accuracy deviated by around 3%,and the equal error rate(EER)by approximately 0.02 compared to the original data,with appropriate performance(approximately 13 ms)while preserving the irreversibility property of the secure ***,the brute-force attack has been analyzed under the new Palmprint protection scheme.

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