Multimodal biometrics technology consolidates information obtained from multiple sources
at sensor level, feature level, match score level, and decision level. It is used to increase …

Unimodal biometric have improved the possibility to establish systems capable of identifying
and managing the flow of individuals according to the available intrinsic characteristics that …

Accurate and efficient identification have become a vital requirement for forensic application
due to diversities of criminal activities. A recent advancement in biometric technology which …

This paper proposes a finger-knuckle-print based authentication system by fusing multiple
texture features. It contains new algorithms for extracting region of interest (ROI) with the …

Individuals, businesses and governments undertake an ever-growing range of activities
online and via various Internet-enabled digital devices. Unfortunately, these activities …

Understanding the relationship between physiological measurements from human subjects
and their demographic data is important within both the biometric and forensic domains. In …

Multimodal biometrics provides high performance in biometric recognition systems with
respect to unibiometric systems as they offer a more universal approach, added security and …

This paper proposes a novel texture feature for iris recognition. The iris recognition system
consists of three major components: pre-processing, feature extraction and classification …

Touch and multi-touch gestures are becoming the most common way to interact with
technology such as smart phones, tablets and other mobile devices. The latest touch-screen …

After more than two decades of research in the field of password strength estimation, one
clear conclusion may be drawn: no password strength metric by itself is better than all other …