Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Remote human identification using iris biometrics has high civilian and surveillance
applications and its success requires the development of robust segmentation algorithm to …

As biometrics has evolved, the iris has remained a preferred trait because its uniqueness,
lifetime stability and regular shape contribute to good segmentation and recognition …

Noisy iris recognition under visible lighting has recently drawn much attention. This paper
proposes an effective method for visible light iris image matching by using multiple …

Iris recognition is nowadays considered as one of the most accurate biometric recognition
techniques. However, the overall performances of such systems can be reduced in non …

Commercial iris recognition systems do not perform well for non-ideal data, because their
iris localization algorithms are specifically developed for controlled data. This paper …

Iris recognition is one of the most accurate identity verification systems. Since its initial
introduction by J. Daughman many methods have been proposed to enhance the …

Automated human identification at-a-distance, using completely automated iris
segmentation, is highly challenging and has wide range of civilian and forensics …

Iris segmentation is the difficult and essential step in iris recognition systems. The
integrodifferential operator and Hough transform are widely used for segmenting iris texture …

This paper presents a computationally efficient iris segmentation approach for segmenting
iris images acquired from at-a-distance and under less constrained imaging conditions. The …