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

Eslam Hamouda1, Mohamed Ezz1,*, Ayman Mohamed Mostafa1, Murtada K. Elbashir1, Meshrif Alruily1, Mayada Tarek2

1 College of Computer and Information Sciences, Jouf University, Sakaka, 72314, Saudi Arabia
2 College of Computers and Informatics, Mansoura University, 35516, Egypt

* Corresponding Author: Mohamed Ezz. Email: email

Computer Systems Science and Engineering 2023, 46(1), 619-636. https://doi.org/10.32604/csse.2023.035830

Abstract

Many types of research focus on utilizing Palmprint recognition in user identification and authentication. The 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 systems. Accuracy and irreversibility are critical requirements for securing the Palmprint template during enrollment and verification. This 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 users. The HAMTE is generated for each user during the enrollment phase, which is responsible for generating a secure template for the enrolled user. The 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 stolen. Experimental results are conducted on the CASIA database, where the proposed network achieved accuracy close to the original accuracy for the unprotected Palmprint templates. The 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 template. Moreover, the brute-force attack has been analyzed under the new Palmprint protection scheme.

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APA Style
Hamouda, E., Ezz, M., Mostafa, A.M., Elbashir, M.K., Alruily, M. et al. (2023). Innovative hetero-associative memory encoder (HAMTE) for palmprint template protection. Computer Systems Science and Engineering, 46(1), 619-636. https://doi.org/10.32604/csse.2023.035830
Vancouver Style
Hamouda E, Ezz M, Mostafa AM, Elbashir MK, Alruily M, Tarek M. Innovative hetero-associative memory encoder (HAMTE) for palmprint template protection. Comput Syst Sci Eng. 2023;46(1):619-636 https://doi.org/10.32604/csse.2023.035830
IEEE Style
E. Hamouda, M. Ezz, A.M. Mostafa, M.K. Elbashir, M. Alruily, and M. Tarek "Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection," Comput. Syst. Sci. Eng., vol. 46, no. 1, pp. 619-636. 2023. https://doi.org/10.32604/csse.2023.035830



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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