Emad Majeed  Hameed, Noor  Abbood, Ahmed A.  Alani, 
    Fuzzy Logic Decision Fusion in a Fingerprints Based
Multimodal Biometric System,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 3,
    2019,
    Pages 920-926,
    ISSN 1816-949x,
    jeasci.2019.920.926,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.920.926)
    Abstract: Multimodal biometric systems use more than one biometric trait or more than one algorithm for
estimating the similarity. These systems allow using more factors for making decision. Since, the classical binary
logic and threshold comparison do not give an ideal results in making decision, fuzzy logic is one approaches
for solving this problem. This study presents a multimodal biometric system that uses three different
fingerprints with fuzzy fusion system for making decision. The EER of fuzzy fusion based multimodal system
is calculated and compared with other two fusion methods (majority voting and a response of three out three).
Experimental results explain an improvement of about 10 and 12% using the fuzzy logic decision fusion over
the fusion by majority voting and with a response of three out three, respectively.
    Keywords: Biometric;multimodal;fingerprint;biometric fusion;fuzzy logic fusion;voting