Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

Research Article

The Impacts of Depth Camera and Multi-Sensors for Face and Fingerprint Recognition in 2D and 3D - A Case Study

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  • @INPROCEEDINGS{10.4108/eai.7-9-2021.2314977,
        author={Mohamed Abdul-Al and George Kumi Kyeremeh and Rami Qahwaji and Raed A Abd-Alhameed},
        title={The Impacts of Depth Camera and Multi-Sensors for Face and Fingerprint Recognition in 2D and 3D - A Case Study},
        proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey},
        publisher={EAI},
        proceedings_a={IMDC-IST},
        year={2022},
        month={1},
        keywords={face recognition (fr) fingerprint sensor intel realsense camera 2d-rgb 3d-rgb feature extraction depth maps vgg-face and facial tracking},
        doi={10.4108/eai.7-9-2021.2314977}
    }
    
  • Mohamed Abdul-Al
    George Kumi Kyeremeh
    Rami Qahwaji
    Raed A Abd-Alhameed
    Year: 2022
    The Impacts of Depth Camera and Multi-Sensors for Face and Fingerprint Recognition in 2D and 3D - A Case Study
    IMDC-IST
    EAI
    DOI: 10.4108/eai.7-9-2021.2314977
Mohamed Abdul-Al1,*, George Kumi Kyeremeh1, Rami Qahwaji1, Raed A Abd-Alhameed1
  • 1: Faculty of Engineering and Informatics, University of Bradford, Bradford, BD7 1DP, UK
*Contact email: m.abdul.al@bradford.ac.uk

Abstract

This paper reviews the multi-modern sensors for multimodal (Face ad Fingerprint) of a biometric system by using a depth camera. The use of face authentication in biometric data allows this innovation to expand and be used in a variety of fields. Recently, attendance monitoring systems depending on biometric identification for higher education are underutilization, presenting an excellent chance to do fascinating experiments. The installation of biometric attendance systems necessitates the use of both hardware and software components. The first deep CNN (Convolutional Neural Network) method for light source-oriented Face Recognition (FR) takes advantage of the more detailed data given in a lens let display technology picture and that has been used in different borders such as airports, seaports, and land ports. In addition, the use of 3D camera technology for measuring medical outcomes in the healthcare marketplace is growing. The Intel® RealSense TM is one of the top 3D thermal imaging cameras systems on the market today, and it is well-suited for usage in a variety of areas such as medical systems, automation, and medical. Advances in in-depth sensor cameras technology have led to a considerable rise in the incorporation of these innovations into moveable systems, implying the great future potential for widespread in clinic and sector medical screening systems.