Chinese Journal of Information Fusion
ISSN: 2998-3371 (Online) | ISSN: 2998-3363 (Print)
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TY - JOUR AU - Begum, Mahbuba AU - Yasmeen, Fauzia AU - Uddin, Mohammad Shorif AU - Ferdush, Jannatul AU - Shorif, Sumaita Binte AU - Islam, Taminul AU - Jui, Anjuman Naher AU - Rahman, Md. Marufur PY - 2025 DA - 2025/11/12 TI - A Biometric Authentication Framework Based on Image Watermarking JO - Chinese Journal of Information Fusion T2 - Chinese Journal of Information Fusion JF - Chinese Journal of Information Fusion VL - 2 IS - 4 SP - 340 EP - 355 DO - 10.62762/CJIF.2025.545927 UR - https://www.icck.org/article/abs/CJIF.2025.545927 KW - biometric authentication KW - optimization KW - robust KW - security and privacy AB - The need for robust information protection techniques has become important in security applications, especially to safeguard secret messages during transmission. The rapid expansion and pervasive use of the Internet have amplified security concerns, particularly regarding the authenticity of digital images, a significant issue in the context of the fourth industrial revolution. Biometric authentication using image watermarking addresses these concerns by embedding biometric information into digital images, thereby ensuring their security and privacy. Numerous recent methods have fused biometric modalities with watermarking techniques to enhance the security and reliability of transmitted messages. Despite these advancements, achieving parallel security and storage efficiency for biometric images remains a complex challenge. To cope with these challenges, this research proposes a standardized robust fusion framework for biometric-based image authentication tailored to various applications. SN - 2998-3371 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Begum2025A,
author = {Mahbuba Begum and Fauzia Yasmeen and Mohammad Shorif Uddin and Jannatul Ferdush and Sumaita Binte Shorif and Taminul Islam and Anjuman Naher Jui and Md. Marufur Rahman},
title = {A Biometric Authentication Framework Based on Image Watermarking},
journal = {Chinese Journal of Information Fusion},
year = {2025},
volume = {2},
number = {4},
pages = {340-355},
doi = {10.62762/CJIF.2025.545927},
url = {https://www.icck.org/article/abs/CJIF.2025.545927},
abstract = {The need for robust information protection techniques has become important in security applications, especially to safeguard secret messages during transmission. The rapid expansion and pervasive use of the Internet have amplified security concerns, particularly regarding the authenticity of digital images, a significant issue in the context of the fourth industrial revolution. Biometric authentication using image watermarking addresses these concerns by embedding biometric information into digital images, thereby ensuring their security and privacy. Numerous recent methods have fused biometric modalities with watermarking techniques to enhance the security and reliability of transmitted messages. Despite these advancements, achieving parallel security and storage efficiency for biometric images remains a complex challenge. To cope with these challenges, this research proposes a standardized robust fusion framework for biometric-based image authentication tailored to various applications.},
keywords = {biometric authentication, optimization, robust, security and privacy},
issn = {2998-3371},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Chinese Journal of Information Fusion
ISSN: 2998-3371 (Online) | ISSN: 2998-3363 (Print)
Email: [email protected]
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