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  • Girija Chetty
  • 2009
In this paper we propose liveness checking technique for multimodal biometric authentication systems based on audio-visual cross-modal fusion. Liveness checking ensures that biometric cues are acquired from a live person who is actually present at the time of capture for authenticating the identity. The liveness check based on mutual dependency models is(More)
Human Gait recognition is one of the most promising research areas at the moment. Gait is the style or manner of walking on foot. Gait recognition aims to identify individuals by the manner in which they walk. Existing Gait representations which capture both motion and appearance information are sensitive to changes in various covariate conditions such as(More)
Keystroke biometrics authentication system is based on a password and keystroke biometric features captured when a user is typing in the password. The system offers a higher level of security and convenience for computers. The system does not require additional hardware as it can be used with any existing keyboard, making it relatively inexpensive and(More)
In this paper we propose a multimodal fusion framework based on novel face-voice fusion techniques for biometric person authentication and liveness verification. Checking liveness guards the system against spoof/replay attacks by ensuring that the biometric data is captured from an authorised live person. The proposed framework based on bi-modal feature(More)
Under an ARC Linkage Infrastructure, Equipment and Facilities (LIEF) grant, speech science and technology experts from across Australia have joined forces to organise the recording of audiovisual (AV) speech data from representative speakers of Australian English in all capital cities and some regional centres. The Big Australian Speech Corpus (the Big ASC)(More)