purpose: to present a new reliable and accurate iris recognition method applicable in identification systems. methods: the system was implemented and tested on 876 standard iris images (daugman iris images database) from 876 persons of different nationalities via image processing techniques. results: false accept reject (far) and false reject reject (frr) were smaller in our suggested method as...

This paper discusses about Enhanced iris recognition which is used to overcome some of the problem like to automate the recognition of the iris by reducing complexity and increasing algorithm speed. Various challenges are faced while working with the iris recognition system. Iris recognition systems make use of the uniqueness of the iris patterns to derive a unique mapping. Iris recognition, as...

In this paper, a new iris Segmentation method is presented. An iris recognition system acquires a human eye image, segments the iris region from the rest of the image, normalizes this segmented image and encodes features to get a compact iris template. Performance of all subsequent stages in an iris recognition system is highly dependent on correct detection of pupil-iris and iris-sclera bounda...

The interface of computer technologies and biology is having a huge impact on society. Human recognition research projects promises new life to many security-consulting. Iris recognition is considered to be the most reliable biometric authentication system. Image quality plays a crucial role in any pattern matching system. Three different iris databases have been employed for comparison of perf...

In this paper, we present a new scheme for iris recognition from focus-varying sequences of iris images. Most of the current state-of-the-art iris recognition systems use the highly focused iris images to obtain high accuracy. These systems does not recognize defocused iris images. They also take much focusing time to acquire the high quality images. Unlike the current iris recognition systems,...

by Karen P. Hollingsworth Two decades ago, the United States issued the first patent claiming the idea of an automated iris biometrics system [1]. Today, multiple companies offer commercial biometrics products. However, there are still many unanswered questions about the workings of the iris biometrics algorithms. Before iris recognition systems are more widely employed, we must ask, “when do t...

Blurred iris images are inevitable during iris image acquisition due to limited depth of field and movement of subjects. The blurred iris images lose detailed texture information for accurate identity verification, so this paper proposes a novel iris image deblurring method to enhance the quality of blurred iris images. Our method makes full use of the prior information of iris images. Firstly,...

Iris normalization is an important stage in any iris biometric, as it has a propensity to trim down the consequences of iris distortion. To indemnify the variation in size of the iris owing to the action of stretching or enlarging the pupil in iris acquisition process and camera to eyeball distance, two normalization schemes has been proposed in this work. In the first method, the iris region o...

Iris segmentation is considered as the most difficult and fundamental step in an iris recognition system. While iris boundaries are largely approximated by two circles or ellipses, other methods define more accurately the iris resulting in better recognition results. In this paper we propose an iris segmentation method using Hough transform and active contour to detect a circular approximation ...

Interspecific facultative mutualisms typically involve guilds of interacting species, and species within a guild can vary in the quality of services they provide. For plants that secrete extrafloral nectar (EFN), visitation by multiple ant species that vary in anti herbivore abilities may result in reduced benefits, relative to an exclusive association with a high-quality mutualist. This raises...