Zahid Akhtar

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Multimodal biometric systems are commonly believed to be more robust to spoofing attacks than unimodal systems, as they combine information coming from different biometric traits. Recent work has shown that multimodal systems can be misled by an impostor even by spoofing only one biometric trait. This result was obtained under a ‘worst-case’ scenario, by(More)
This study was conducted to confirm which of these modalities [mammography (MG), fine-needle aspiration cytology (FNAC), core-needle biopsy (CNB), or intraoperative touch imprint cytology (IOTIC)] is useful to detect breast cancer and to compare the accuracy of these modalities for the diagnostic setting. One hundred seventy-five, 85, 78, and 25 patients(More)
Recent works have investigated the robustness to spoofing attacks of multi-modal biometric systems in parallel fusion mode. Contrary to a common belief, it has been shown that they can be cracked by spoofing only one biometric trait. Robustness evaluation of multi-modal systems in serial fusion mode has not yet been investigated, instead. Thus, the aim of(More)
Biometrics, referred as the science of recognizing an individual based on his or her physical or behavioral traits, has been widely employed as a security system in the awake of latest security issues. However, recent researches have shown that many biometric traits are vulnerable to spoof attacks. In addition, a latest results have questioned that,(More)
Recent works have shown that multimodal biometric systems can be evaded by spoofing only a single biometric trait. In this paper, we propose a method to evaluate the robustness of such systems against spoofing attacks, when score-level fusion rules are used. The aim is to rank several score-level fusion rules, to allow the designer to choose the most robust(More)
Spoof attacks consist in submitting fake biometric traits to biometric systems, and are a major threat that can curtail their security. Multi-modal biometric systems are commonly believed to be intrinsically more robust to spoof attacks, but recent works have shown that they can be evaded by spoofing even a single biometric trait. This result was however(More)
Recent works have shown that, contrary to a common belief, multi-modal biometric systems may be “forced” by an impostor by submitting a spoofed biometric replica of a genuine user to only one of the matchers. Although those results were obtained under a worst-case scenario when the attacker is able to replicate the exact appearance of the true(More)
Spoof attack is one of the major challenge that can decline the security and reliability of the biometric systems. Multimodal biometric systems are commonly believed to be more resilient against spoof attacks than systems using single biometric trait. However, a recent study has questioned, contrary to a common claim, that multimodal systems can be cracked(More)
Ocular biometrics refers to personal identification using iris, conjunctival vasculature, periocular or eye movements. Contrary to most of other biometric traits, ocular biometrics does not require high user cooperation and close capture distance. Biometrics is now adopted ubiquitously as an alternative to passwords on mobile devices. Especially, ocular(More)