Intra-class variation is fundamental to the FNMR performance of iris recognition systems. In this paper, we perform a systematic study of modeling intra-class variation for nonideal iris images captured under less-controlled environments. We present global geometric calibration techniques for compensating distortion associated with off-angle acquisition and local geometric calibration technique...

As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of t...

Iris-based biometric system is gaining its importance in several applications. However, processing of iris biometric is a challenging and time consuming task. Detection of iris part in an eye image poses a number of challenges such as, inferior image quality, occlusion of eyelids and eyelashes etc. Due to these problems it is not possible to achieve 100% accuracy rate in any iris-based biometri...

OBJECTIVE To evaluate an antisense oligodeoxynucleotide (AS-ODN) targeted against vascular endothelial growth factor for its effects on ocular angiogenesis and its intraocular localization in a nonhuman primate model of iris neovascularization. METHODS Bilateral laser retinal vein occlusion was performed in monkeys, followed by intravitreal injections of a vascular endothelial growth factor-s...

Iris recognition is considered to be the most reliable and accurate biometric identification system available. Iris recognition system captures an image of an individual’s eye, the iris in the image is then meant for the further segmentation and normalization for extracting its feature. The performance of iris recognition systems depends on the process of segmentation. Segmentation is used for ...

This paper presents a multi-stage iris segmentation framework for the localization of pupillary and limbic boundaries of human eyes. Instead of applying time-consuming exhaustive search approaches, like traditional circular Hough Transform or Daugman’s integrodifferential operator, an iterative approach is used. By decoupling coarse center detection and fine boundary localization, faster proces...

Using a double labeling indirect immunofluorescent technique, we studied the guinea pig trigeminal ganglion and eye for co-localization of substance P and calcitonin gene-related peptide. In the trigeminal ganglion, the number of neurons immunoreactive for calcitonin gene-related peptide significantly outnumber those immunoreactive for substance P, but virtually all substance P positive neurons...

Applications such as immigration control, aviation security, bank and other financial transactions, access to defence organization requires a more reliable and authentic identification system. Iris is now considered to be one of the most time invariable biometric features of a person for recognition. Several iris recognition techniques were proposed with considerable focus on improving the fals...

In general, the iris recognition systems have used the wavelet transform as feature extraction techniques. Since the wavelet transform does not have the shift-invariant property, the iris features are inconsistently extracted due to the eye image rotation and the inexact iris localization. In this paper, a novel method to extract features is proposed for iris recognition system. Two types of fe...