Browsing by Author "Joseph, Juno Ann"

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    Multi-modal biometric authentication integrating gait and face recognition for mobile security
    (IEEE, 2025-10-28) Nivedita, V.; Joseph, Juno Ann; Varghese, Divya Thankom; Nithyanandh, S; Sundaram, Jayavelu; Ali, Guma
    In the surroundings of mobile security systems, traditional biometric methods such as fingerprint and facial recognition can be readily disputed and misled. These systems change user appearance by failing in different illumination conditions or spoofing attacks with false fingerprints or images. Overcoming these constraints, the proposed multi-modal biometric identification system integrates gait with facial recognition. Combining facial data with gait traits observed by accelerometers and gyroscopes helps to increase security and reduce false positives and negatives. Results show the system achieves 97.8% accuracy, significantly above the existing systems using a low false acceptance rate (significantly) of 1.5% and a false rejection rate (FRR) of 0.7%. It has a superior resilience to spoofing techniques, including stride imitation and image/video spoofing; it also shines in tough conditions, including poor lighting and appearance alterations. Despite a slight increase in processing time, the method offers a more robust and reliable solution for mobile authentication.