Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparative Analysis of State-of-the-Art Face Recognition Models: FaceNet, ArcFace, and OpenFace Using Image Classification Metrics Subject The topic of the resource Accuracy; ArcFace; Comparison; FaceNet; Facial expression; Facial recognition; High stakes applications; Improvement; Lighting; Occlusion; OpenFace; Performance; Speed Description An account of the resource In recent years, facial recognition has emerged as a key technological advancement with numerous useful applications in numerous industries. FaceNet, ArcFace, and OpenFace are three widely used techniques for facial identification. In this study, we examined the accuracy, speed, and capacity to manage variations in face expression, illumination, and occlusion of these three approaches over a period of five years, from 2018 to 2023. According to our findings, FaceNet is more accurate than ArcFace and OpenFace, even under difficult circumstances like shifting lighting and facial occlusion. Also, during the previous five years, FaceNet has shown a significant improvement in performance. Even while ArcFace and OpenFace have made significant strides, they still lag behind FaceNet in terms of accuracy. Therefore, based on our findings, we conclude that FaceNet is the most effective method for facial recognition and is well-suited for use in high-stakes applications where accuracy is crucial. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Iype J.K.; Sebastian S. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1973 CCIS, pp. 222-234. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-50993-3_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-50993-3_18</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185702432&amp;doi=10.1007%2F978-3-031-50993-3_18&amp;partnerID=40&amp;md5=4cf8f361b6542e8ddd26f4a9f07b60e1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185702432&amp;doi=10.1007%2f978-3-031-50993-3_18&amp;partnerID=40&amp;md5=4cf8f361b6542e8ddd26f4a9f07b60e1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303150992-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Iype J.K., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560001, India; Sebastian S., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560001, India