Iris segmentation plays an important and significant role in the iris recognition system. The
prerequisite for accurate iris recognition is the correctness of iris segmentation. However, the …

Iris is one of the most well-known biometrics; it is a nonintrusive and contactless
authentication technique with high accuracy, enhanced security, and unique distinctiveness …

Though there has been a plethora of the iris localization schemes, most of these have not
been implemented in the real-time systems due to computational complexity. It is mainly …

Multi-spectral iris recognition has increasingly gained interest in recent years. This paper
presents the design and implementation of a multi-spectral iris sensor that captures iris …

One of the most challenging goals in biometrics research is the development of recognition
systems to work in unconstrained environments and without assuming the subjects' …

As the demand for robust and secure biometric authentication systems continues to rise, this
research presents" SmartIris ML," a cutting-edge approach that harnesses the power of …

Existing iris recognition systems are heavily dependent on specific conditions, such as the
distance of image acquisition and the stop-and-stare environment, which require significant …

Similar to other biometric systems such as fingerprint, face, DNA, iris classification could
assist law enforcement agencies in identifying humans. Iris classification technology helps …

Gabor filters are generally regarded as the most bionic filters corresponding to the visual
perception of human. Their filtered coefficients thus are widely utilized to represent the …

This study presents a multimodal system that optimises and integrates the iris and face
features based on fusion at the score level. The proposed multibiometric system has two …