Today, recognition of people by the iris is widely used when secure identification of a person
is needed. Iris biometric identification systems should be able to work with heterogeneous …

This paper investigates the potential of fusion at normalisation/segmentation level prior to
feature extraction. While there are several biometric fusion methods at data/feature level …

Currently, identity management systems work with heterogeneous iris images captured by
different types of iris sensors. Indeed, iris recognition is being widely used in different …

Recent studies show fusion at level of segmentation to be useful for more robust iris
recognition rates compared with simple segmentation. In this paper we perform Sum-Rule …

Recent works in the area of biometrics have shown that fusion at segmentation level (FSL)
has contributed to the robustness in iris recognition compared with the recognition obtained …

Despite numerous biometric challenges promoting iris and ocular recognition from less
controlled images, iris localization and segmentation are still challenging topics. Examples …

Currently using the iris texture region for biometric recognition makes the systems more
accurate. The use of iris recognition systems in uncontrolled environments allows to have …

Recent works have shown that fusion at segmentation level has contributed to the
robustness in iris recognition compared with the one obtained from a single segmentation …

Recientes estudios han demostrado que la fusión en el nivel de segmentación ha
contribuido a la robustez en el reconocimiento de iris con respecto a la realización de una …