AI based face recognition system using FaceNet deep learning architecture
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...
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| creator | Raju, Anand Saravanan, Thirukkumaran Arul, Jawahar Vaitheeswar |
| description | 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. |
| doi_str_mv | 10.1063/5.0118073 |
| format | Conference Proceeding |
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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. 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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. 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| fulltext | fulltext |
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| ispartof | AIP Conference Proceedings, 2022, Vol.2640 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2719567364 |
| source | AIP Journals Complete |
| subjects | Access control Artificial neural networks Face recognition Feature extraction Machine learning New technology Tracking control Tracking systems |
| title | AI based face recognition system using FaceNet deep learning architecture |
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