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    Performance of Multimodal Biometric Systems Using Face and Fingerprint (Short Survey)

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    abdul-al_et_al_2021 (247.4Kb)
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    Publication date
    2021-10-27
    Author
    Abdul-Al, Mohamed
    Kyeremeh, George K.
    Ojaroudi Parchin, Naser
    Abd-Alhameed, Raed A.
    Qahwaji, Rami S.R.
    Rodriguez, J.
    Keyword
    Multimodal
    Biometric
    Face
    Fingerprint
    Rights
    © 2021 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
    Show full item record
    Abstract
    Biometric authentication is the science and engineering of assessing and evaluating bioinformatics from the human body in order to increase system security by providing reliable and accurate behaviors and classifiers for personal identification and authentication. Its solutions are widely used in industries, governments, and the military. This paper reviews the multimodal biometric systems that integrated both faces and fingerprints as well as shows which one has the best accuracy and hardware complexity with the methods and databases. Several methods have been used in multimodal biometric systems such as KNN (K-Nearest Neighbor), CNN (Convolutional Neural Network), PCA (Principal Component Analysis), and so on. A multimodal biometric system for face and fingerprints that uses an FoM (Figure of Merit) to compare and show between the articles the best accuracy that have used multimodal biometric system face and fingerprints methods. The best performance has been found is 99.43% by using the cascade multimodal method.
    URI
    http://hdl.handle.net/10454/18682
    Version
    Accepted manuscript
    Citation
    Abdul-Al M, Abd-Alhameed RA, Kyeremeh GK et al (2021) IEEE 26th International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks (CAMAD) 25-27 Oct 2021. Porto, Portugal.
    Link to publisher’s version
    https://doi.org/10.1109/CAMAD52502.2021.9617766
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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