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Auflistung nach Autor:in "Hoque, Sanaul"

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  • Konferenzbeitrag
    Spoofing attempt detection using gaze colocation
    (BIOSIG 2013, 2013) Ali, Asad; Deravi, Farzin; Hoque, Sanaul
    Spoofing attacks on biometric systems are one of the major impediments to their use for secure unattended applications.This paper presents a novel method for face liveness detection by tracking the gaze of the user with an ordinary webcam. In the proposed system, an object appears randomly on the display screen which the user is required to look at while their gaze is measured. The visual stimulus appears in such a way that it repeatedly directs the gaze of the user to specific points on the screen. Features extracted from images captured at these sets of colocated points are used to estimate the liveness of the user. A scenario is investigated where genuine users track the challenge with head/eye movements whereas the impostors hold a photograph of the target user and attempt to follow the stimulus during simulated spoofing attacks. The results from the experiments indicate the effectiveness of the gaze colocation feature in detecting spoofing attack.
  • Konferenzbeitrag
    A versatile iris segmentation algorithm
    (BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Radu, Petru; Sirlantzis, Konstantinos; Howells, Gareth; Hoque, Sanaul; Deravi, Farzin
    In biometric authentication, iris recognition was shown to be one of the most accurate techniques. In unconstrained environment and capture conditions (e.g. with hand-held devices used outdoors), the iris image may be contaminated by noise and distortions which makes the iris segmentation and recognition process difficult. This paper presents a novel iris segmentation algorithm that addresses some of the issues raised by unconstrained iris recognition. There are two main contributions in the present work: first, the proposed segmentation algorithm is able to cope efficiently with both near infra red and visible spectrum images; second, the algorithm speed can be increased significantly with a minimal reduction in accuracy. The versatility of the algorithm has been tested using both near infrared iris images acquired with a hand-held device and colour iris images acquired in unconstrained environment.