Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; however, for good performance, it requires the diameter of the iris to be greater than 200 pixels in an input image. So, a conventional iris system uses a camera with a costly and bulky zoom lens. To overcome this problem, w...

Biometrics deals with the recognition of humans based on their unique physical characteristics. It can be face identification, iris, fingerprint and DNA. In this paper, we have considered iris as a source biometric verification it is part eye which never altered, remains same throughout life an individual. We proposed improved system including image registration main step well edge detection me...

An efficient and accurate LiDAR place recognition methodology is proposed for vehicle localization. First, the Iris-LOAM to overcome disadvantages of low accuracy loop-closure detection efficiency map construction in existing LOAM-series methods. The method integrates LiDAR-Iris global descriptor Normal Distribution Transform (NDT) registration into module Odometry Mapping (LOAM), thereby impro...

BACKGROUND In a proportion of patients with HIV-associated tuberculosis who develop paradoxical immune reconstitution inflammatory syndrome (IRIS), the clinical course of IRIS is prolonged necessitating substantial health care utilization for diagnostic and therapeutic interventions. Prolonged TB-IRIS has not been prospectively studied to date. We aimed to determine the proportion of patients w...

BACKGROUND Immune reconstitution inflammatory syndrome (IRIS) is reported widely in patients initiating antiretroviral therapy (ART). However, few studies are prospective, and no study has evaluated the impact of the timing of ART when allocated randomly during an acute opportunistic infection (OI). METHODOLOGY/PRINCIPAL FINDINGS A5164 randomized 282 subjects with AIDS-related OIs (tuberculos...

This paper presents a weighted co-occurrence phase histogram (WCPH) for representing local characteristics of texture pattern and applies it to iris recognition. We first introduce a weighting function that enables the phase angle of the image gradient at one pixel to contribute smoothly to several adjacent histogram bins. This accounts for the uncertainty of phase angle estimation brought by t...

In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be removed. The remaining pixels are mainly the boundary of iris inside the sclera. Then, circular ...

This paper presents an efficient algorithm for iris recognition using phase-based image matching—an image matching technique using phase components in 2D Discrete Fourier Transforms (DFTs) of given images. Experimental evaluation using the CASIA iris image databases (versions 1.0 and 2.0) and Iris Challenge Evaluation (ICE) 2005 database clearly demonstrates that the use of phase components of ...

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...