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 ...

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

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...

Iris localization is a very important approach in biometric identification systems. Identification process usually is implemented in three levels: iris localization, feature extraction, and pattern matching finally. Accuracy of iris localization as the first step affects all other levels and this shows the importance of iris localization in an iris based biometric system. In this paper, we cons...

Now a day’s iris localization method is very powerfully used in all the iris recognition. There are many methods which can be used for iris localization. Such feature based method and object based method. There are many feature based methods invented by Daugman’s. These all methods deal with feature extraction of iris. These methods are very commonly used in all the major security areas, in med...

iris recognition is one of the most reliable methods for identification. in general, itconsists of image acquisition, iris segmentation, feature extraction and matching. among them, iris segmentation has an important role on the performance of any iris recognition system. eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. in this pa...

A novel iris segmentation approach for noisy iris is proposed in this paper. The proposed approach comprises of specular reflection removal, pupil localization, iris localization and eyelid localization. Reflection map computation is devised to get the reflection ROI of eye image using adaptive threshold technique. Bilinear interpolation is used to fill these reflection points in the eye image....

With the development of the current networked society, personal identification based on biometrics has received more and more attention. Iris recognition has a satisfying performance due to its high reliability and non-invasion. In an iris recognition system, preprocessing, especially iris localization plays a very important role. The speed and performance of an iris recognition system is cruci...

Occlusion, reflections and iris shape deformations are the obstacles that stand in the way of a complete solution to iris localization problem. How to reject outliers caused by occlusion and reflections as much as possible before ellipse or spline fitting is a key challenge. For this reason, we proposed a Hough clustering method, which utilizes the shape configuration of iris edge points and th...