Iris recognition has become a popular research in recent years due to its reliability and nearly perfect recognition rates. Iris recognition system has three main stages: image preprocessing, feature extraction and template matching. In the preprocessing stage, iris segmentation is critical to the success of subsequent feature extraction and template matching stages. If the iris region is not c...

Thewidespread use of mobile devices with Internet connectivity has resulted in the storage and transmission of sensitive data. This has heightened the need to perform reliable user authentication on mobile devices in order to prevent an adversary from accessing such data. Biometrics, the science of recognizing individuals based on their biological and behavioral traits, has the potential to be ...

In a less constrained capture of iris images to build a high-speed iris recognition system, the design of a robust and fast iris segmentation method is important. In this paper, a new iris segmentation technique based on the Fourier spectral density is proposed for noisy frontal view eye images captured with minimum cooperation from the subjects. The proposed segmentation method is not an itera...

In the present age of digital impersonation, biometric techniques are being used increasingly to prevaricate against identity thefts. Iris recognition is a proven, accurate means to identify people. Iris is regarded as the most reliable biometric feature in terms of its uniqueness and robustness. The objective of this work is to present a biometric authentication system for high security physic...

Segmenting iris region is fundamental for iris-based biometric systems. The overall performance of an iris recognition system is highly dependent on accurate iris segmentation. In this paper, a new algorithm for iris segmentation is proposed towards more accurate and efficient segmentation, it detects the precise pupil contour and localizes the limbic boundary. An improved snake model is presen...

COMPARATIVE ANALYSIS OF ROBUST IRIS RECOGNITION SYSTEM USING LOG GABOR WAVELET AND LAPLACIAN OF GAUSSIAN FILTER Bhawna Chouhan1 and Shailja Shukla2 1M.E. VI SEM, JEC, Jabalpur, E-mail: [email protected] 2JEC, Jabalpur, E-mail: [email protected] A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the indivi...

Abstract— The human iris recognition system is an attractive technology for identity authentication. This technology benefits from random variations in the features of the iris. Usually, an iris recognition system has 4 modules: segmentation, normalization, feature extraction and iris templates matching. This work is mainly focused on iris texture analysis and templates matching which are 2 ess...

In present day world when identity circumferences many social, personal, professional outlooks, the identification of identity is highly critical. In pursuit of the same if we consider biological identity of person as a resource to identify his identity, we are approaching towards a new arena of a metric system call biometric system which enables us for automatic identification of an individual...

Volume 1, Issue 2 July-August 2012 Page 271 Abstract: Iris based biometric personal identification and Verification methods have gained much interest with an increasing emphasis on security. The proposed approach comprises of acquisition of Iris images, Iris Localization, Normalization and Quality Enhancement. Algorithms like Circular Hough transform, Canny Edge Detection, Gabor filters, Homoge...

Iris localization is the most important part of iris recognition which involves the detection of iris boundaries in an image. A very important need of this effective security system is to overcome the rigid constraints necessitated by the practical implementation of such a system. There are a few existing techniques for iris segmentation in which iris detection using Circular Hough Transform is...