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Can I read AI based face recognition system using FaceNet deep learning architecture on EtoBox?

AI based face recognition system using FaceNet deep learning architecture by Anand Raju; Thirukkumaran Saravanan; Jawahar Vaitheeswar Arul is a Physics and Astronomy article available to read on EtoBox.

What is AI based face recognition system using FaceNet deep learning architecture about?

In recent years face recognition system is emerging technology in research areas. Face recognition is used in many applications such as attendance management system, People tracking system and access control system etc. Major challenges faced in face recognition are detection and recognition because it is not easy to detect multiple faces in one frame and difficult to recognize the faces with poor resolution. Therefore, the main objective of this paper is to obtain better accuracy by using the combination of FaceNet and Deep Neural Network (DNN). In this proposed system, FaceNet is used for feature extraction by embedding 128 dimensions per face and DNN is used to classify the given training data with extracted feature of FaceNet. The outcome of the system is practical, reliable and consumes less time.

Who reads AI based face recognition system using FaceNet deep learning architecture?

It is typically read by researchers, students, and practitioners in Physics and Astronomy.

Author
Anand Raju; Thirukkumaran Saravanan; Jawahar Vaitheeswar Arul
Publisher
AIP Publishing
Published
2022
Language
EN
Field
Physics and Astronomy (Physical Sciences)

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