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    Biometrics in the World of Electronic Borders

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    Publication date
    2021-12-06
    End of Embargo
    2022-12-06
    Author
    Kumi Kyeremeh, George
    Abdul-Al, Mohamed
    Abduljabbar, Nabeel
    Qahwaji, Rami S.R.
    Abd-Alhameed, Raed A.
    Keyword
    Machine readable zone
    MRZ
    ABS
    Automatic border control
    Electronic gate
    e-gate
    Infrared
    IR
    Border cross points
    BCP
    Rights
    (c) 2021 IEEE. Full-text reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    Open Access status
    Green
    
    Metadata
    Show full item record
    Abstract
    Recently, the demand for border crossing has increased massively, with the aim to increase the processing and clearance speed at border crossing points (BCP). The attempt to improve travel convenience, Border Cross Point (BCP) output, and national security result in automated border control (ABC) with biometric technology having a major effect on the efficiency, and safety of the control processes. The border processing of BCP can be increased by automating biometric recognition and facilitated by clearance procedures. This paper discussed the two structures of an e-gate (ABC) and a prospective benefit of biometrics to the EU border in terms of accuracy, integrity, robustness, and efficiency. Challenges posed by biometrics in border control systems were identified and recommendations such as multimodal systems and smart systems with AI and machine learning were suggested to assist travelers to cross border points faster.
    URI
    http://hdl.handle.net/10454/18703
    Version
    Accepted manuscript
    Citation
    Kumi Kyeremeh G, Abdul-Al M, Abduljabbar N et al (2021) Biometrics in the World of Electronic Borders. EEE International Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks, CAMAD. 25-27 Oct 2021. Porto, Portugal.
    Link to publisher’s version
    https://doi.org/10.1109/CAMAD52502.2021.9617775
    Type
    Conference paper
    Notes
    The full-text of this paper will be released for public view at the end of the publisher embargo on 6 Dec 2022.
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    Engineering and Informatics Publications

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