To find a fast, effective iris template aimed at speeding up the iris localization, normalization and feature extraction process and increasing their precision. Iris localization is the main part of any iris recognition system as the success of any Biometrics system depends on the accurate and effective i.e. less timeconsuming localization method. Further, iris detection is a computationally in...

purpose: to report two cases of secondary epithelial iris cyst (seic) with pus-like precepitates in the cyst. patients and findings: two young men with history of penetrating trauma to the eye and primary repair developed secondary epithelial iris cyst several years later. slit-lamp biomicroscopy revealed a large cyst originating from the site of the laceration. the cyst was filled with pus-lik...

— This paper analyses the set of iris codes stored or used in an iris recognition system as an f-granular space. The f-granulation is given by identifying in the iris code space the extensions of the fuzzy concepts wolves, goats, lambs and sheep (previously introduced by Doddington as 'animals' of the biometric menagerie) – which together form a partitioning of the iris code space. The main que...

This paper discuss the latest trends in the field of evolutionary approaches to iris recognition, approaches which are compatible with the task of multi-enrollment in a biometric authentication system based on iris recognition, and which are also able to ensure strong discrimination between the enrolled users. A new authentication system based on supervised learning of iris biometric identities...

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 ...

This paper proposes a person identification system (PID), which works with non-illumination low-resolution eye images. Radial-Scan and threshold methods are used for Iris normalization and Iris segmentation from the eye image respectively. Conventional neural network is used for iris matching. The proposed algorithm works with 96 features of the iris. Space complexity is less and Iris codes are...

In recent years, the iris recognition system has been gaining increasing acceptance for applications such as access control and smartphone security. When the images of the iris are obtained under unconstrained conditions, an issue of undermined quality is caused by optical and motion blur, off-angle view (the user's eyes looking somewhere else, not into the front of the camera), specular reflec...

In general iris recognition algorithms restrict to extracting distinct features out of preprocessed iris images in order to create user-specific iris-codes, neglecting potential improvements in matching procedures. In this work we propose a new way of matching iris-codes. By exploiting local information of extracted iris-codes a context-based matching is performed. The matching procedure is app...

BACKGROUND Lymphoma incidence is increased among human immunodeficiency virus (HIV)-infected individuals soon after antiretroviral therapy (ART), perhaps due to unmasking immune reconstitution inflammatory syndrome (IRIS). Clinical characteristics and survival for unmasking lymphoma IRIS have not been described. METHODS We studied lymphoma patients in the Centers for AIDS Research Network of ...