The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

The current developments in the field of machine vision have opened new vistas towards
deploying multimodal biometric recognition systems in various real-world applications …

Multi-modal ocular biometrics has recently garnered significant attention due to its potential
in enhancing the security and reliability of biometric identification systems in non …

In this work, an improved segmentation methodology and a novel statistical dependency-
based backward feature selection algorithm are proposed. From the input eye image, iris …

Iris-sclera biometry is one of the features that yields high accuracy in user recognition and
liveness detection systems. In this study, segmentation processes the first stage of an iris …

While combining more than one biometric sample, recognition algorithm, modality or sensor,
commonly referred to as multi-biometrics, is common practice to improve accuracy of …

While traditional iris recognition systems operate using near-infrared images, visible
wavelength approaches have gained attention in recent years due to a variety of reasons …

Integrating an efficient and robust iris segmentation-quality estimation module in iris
biometric systems will undoubtedly enhance its performance and competitive advantage. It …

Iris segmentation under visible wavelengths (VWs) is a vital processing step for iris
recognition systems operating ata-distance or in non-cooperative environments. In these …

Security breaches due to misidentification of an individual pose one of the greatest threats
and challenges for today's world. The use of biometrics can be quite promising in minimising …