We present a new approach for iris recognition based on a random sampling strategy. Iris recognition is a method to identify individuals, based on the analysis of the eye iris. This technique has received a great deal of attention lately, mainly due to iris unique characterics: highly randomized appearance and impossibility to alter its features. A typical iris recognition system is composed of...

Recently, Iris recognition systems have gained increased attention especially in non-cooperative environments. One of the crucial steps in the iris recognition system is the iris segmentation because it significantly affects the accuracy of the feature extraction and iris matching steps. In this paper, a new algorithm is being proposed to segment the iris images captured in visible wavelength u...

this research is considered to be a research to attract attention to the 3D iris compression to store the database of the iris. Actually, the 3D iris database cannot be found and in trying to solve this problem 2D iris database images are converted to 3D images just to implement the compression techniques used in 3D domain to test it and give an approximation results or to focus on this new dir...

UNLABELLED Tuberculosis is one of the leading causes of development of Immune reconstitution inflammatory syndrome (IRIS) in HIV patients receiving antiretroviral therapy (ART). OBJECTIVE To determine the incidence of IRIS in HIV-TB coinfected patients, and to find out the possible risk factors associated with IRIS. MATERIALS AND METHODS Study commenced with 96 patients adhered to standard ...

Management of species of conservation concern requires knowledge of demographic parameters, such as rates of recruitment, survival, and growth. In the Caribbean, hawksbill turtles (Eretmochelys imbricata) have been historically exploited in huge numbers to satisfy trade in their shells and meat. In the present study, we estimated growth rate of juvenile hawksbill turtles around Anegada, British...

Low quality iris images such as blurry, low resolution images with poor illumination create a big challenge for iris recognition systems. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Results from processing ...

In this paper, some successful iris recognition methods are listed and their performances are compared. Furthermore, the existing approaches, challenges and conclusion are described. The purpose of ‘Iris Recognition’ is to recognize a person from his/her iris image. Every individual has a unique iris. Iris is an important biometric method with high accuracy, performance and low error rate. Iris...

A modification of iris recognition algorithm using Hermite transform to find iris key points has been developed. The iris image mask for the areas free of eyelids, eyelashes and glares is constructed. The key points are found inside the masked iris region. The use of eye rotation compensation based on Polar Hermite Transform before iris parameterization makes the method more effective. The prop...

• ART-containing integrase inhibitors could be associated with higher incidence of TB-associated IRIS. Prospective studies are needed to better characterize the risk IRIS-TB and determine optimal ART regimen for TB-HIV coinfected patients. Tuberculosis is a immune reconstitution inflammatory syndrome (IRIS) after initiation. Data from all patients newly diagnosed tuberculosis disease uncontroll...