Abstract
The last few years have plunged us at high speed into a new means of communication, namely the Internet, which has set a new trend for the next millennium. So, the rapid growth of online applications reflects the speed with which most countries can develop. An essential aspect of online communication is related to the trust of users and is a very necessary element to ensure the success of an online application. One of the main elements underlying this trust is the remote authentication of the user through its biometric features while of course protecting these features in different storage media. In this paper, we propose a new palmprint/palm-vein recognition framework based on a hand-craft image feature learning method is suggested. Furthermore, to increase the anti-spoof capability of the system, an effective biometric templates protection method based on chaotic systems was proposed. Experimental results have shown that high accuracy can be obtained with a very high level of template protection, which implies that the proposed cancelable biometric system can operate in highly secure applications.
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Laimeche, L., Meraoumia, A., Houam, L., Bouchemha, A. (2021). An Effective Framework for Secure and Reliable Biometric Systems Based on Chaotic Maps. In: Djeddi, C., Kessentini, Y., Siddiqi, I., Jmaiel, M. (eds) Pattern Recognition and Artificial Intelligence. MedPRAI 2020. Communications in Computer and Information Science, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-71804-6_23
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DOI: https://doi.org/10.1007/978-3-030-71804-6_23
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