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Authors
Aarthi, S.
Geetha, K.
Sasikaladevi, N.
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Funding
Funding for this research was provided by:
Department of Science and Technology (DST), Science and Engineering Board (SERB), Government of India ((TAR/2020/000259), (TAR/2020/000259), (TAR/2020/000259))
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Article History
Received: 26 September 2024
Accepted: 27 May 2025
First Online: 27 June 2025
Declarations
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: This research implemented the proposed authentication framework using ORL, CASIA-WebFace and LFW datasets (Labeled Faces in the Wild, deep funneled). In the realm of facial recognition and related applications, these datasets are extensively employed in academic research and are publicly accessible. In compliance with the terms and conditions established by the creators of these datasets, access to them was obtained through their official repositories. This research demonstrated compliance with all ethical standards related to the use of publicly accessible human data.
: The authors state that they have no known conflicting financial interests or personal relationships that might have influenced the work presented in this manuscript.
