The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

The computational workload is one of the key challenges in biometric identification systems.
The naïve retrieval method based on an exhaustive search becomes impractical with the …

Biometric technologies are routinely used in the response to refugee crises with the United
Nations High Commissioner for Refugees (UNHCR) aiming to have all refugee data from …

Iris recognition has been an active research area during last few decades, because of its
wide applications in security, from airports to homeland security border control. Different …

This paper proposes a deep learning based unified and generalizable framework for
accurate iris detection, segmentation and recognition. The proposed framework firstly …

Fingerprint recognition has been utilized for cellphone authentication, airport security and
beyond. Many different features and algorithms have been proposed to improve fingerprint …

Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …

In this work, we have proposed an efficient and secured lip biometric framework. Unlike the
traditional biometric frameworks, that focus on the recognition accuracy only, we focus on …

A spoof or artifact is a counterfeit biometric that is used in an attempt to circumvent a
biometric sensor. Presentation attacks using an artifact have proven to still be effective …

Scale-invariant feature transform (SIFT), which represents a general purpose image
descriptor, has been extensively used in the field of biometric recognition. Focusing on iris …