Image quality assessment (IQA) is critically important for the image-processing field. IQA
aims to build a computational model to predict human perceived image quality, accurately …

An apparatus for recognizing an iris is provided. The apparatus includes an image
acquisition module configured to acquire a plurality of images, and a processor configured …

The quality of biometric raw data is one of the main factors affecting the overall performance
of biometric systems. Poor biometric samples increase the enrollment failure and decrease …

Once confined to indoor biometric applications depending on dedicated acquisition devices,
recently the iris has proved to be a suitable biometric for in-the-wild ubiquitous person …

Biometric acquired and processed data quality is the prime influences, which will affect the
performance of the whole biometric system. Hence, aforementioned is essential to control …

The iris segmentation step is usually the most time consuming stage of biometric systems
when dealing with non ideal conditions, which produce diverse noise factors during the …

This paper proposes the introduction of annular Zernike polynomials for representing iris
images data. This representation offers notables advantages like representing the images …

Iris recognition has been acknowledged as the most accurate method in biometrics that is
one of main automated identification technologies. The iris image quality and iris verification …

An important drawback in the biometric system that is used for the authentication is to secure
the presence of real approved feature in dissimilarity to a forged physical specimen. This …

A biometric system gives automatic identification for an individual dependent on a unique
characteristic or feature possessed by the individual. Unlike another biometric like …