Towards anomaly detection for increased security in multibiometric systems: spoofing-resistant 1-median fusion eliminating outliers

Multibiometrics aims at improving biometric security in presence of spoofing attempts, but exposes a larger availability of points of attack. Standard fusion rules have been shown to be highly sensitive to spoofing attempts – even in case of a single fake instance only. This paper presents a novel spoofing-resistant fusion scheme proposing the detection and elimination of anomalous fusion input in an ensemble of evidence with liveness information. This approach aims at making multibiometric systems more resistant to presentation attacks by modeling the typical behaviour of human surveillance operators detecting anomalies as employed in many decision support systems. It is shown to improve security, while retaining the high accuracy level of standard fusion approaches on the latest Fingerprint Liveness Detection Competition (LivDet) 2013 dataset.

Segmentation-level fusion for iris recognition

This paper investigates the potential of fusion at normalisation/segmentation level prior to feature extraction. While there are several biometric fusion methods at data/feature level, score level and rank/decision level combining raw biometric signals, scores, or ranks/decisions, this type of fusion is still in its infancy. However, the increasing demand to allow for more relaxed and less invasive recording conditions, especially for on-the-move iris recognition, suggests to further investigate fusion at this very low level. This paper focuses on the approach of multi-segmentation fusion for iris biometric systems investigating the benefit of combining the segmentation result of multiple normalisation algorithms, using four methods from two different public iris toolkits (USIT, OSIRIS) on the public CASIA and IITD iris datasets. Evaluations based on recognition accuracy and ground truth segmentation data indicate high sensitivity with regards to the type of errors made by segmentation algorithms.

The role of text in televideo cybersex

Televideo cybersex provides a unique example of the ways meanings are instantiated, identities constructed, and relationships negotiated across different semiotic modes. This article explores the role of verbal messages in these multimodal exchanges, examining the specific interactional functions they perform. Text, it is argued, plays a rather unique role in this particular kind of interaction. Unlike ordinary face-to-face conversation, in which the body (posture, gestures, gaze) usually plays more of an ancillary role, in televideo cybersex, the bodily performance is primary, with verbal messages functioning to contextualize physical actions. Text is used to help increase the sense of ‘presence’ participants feel, to regulate the rhythm of the unfolding interaction, to help manage the orderly exchange of information, and to create narrative frames within which bodily displays can be interpreted and made coherent.