As a reliable personal identification method, iris recognition has been widely used for a large number of applications. Since a variety of iris devices produced by different vendors may be used for some large-scale applications, it is necessary to match heterogeneous iris images against the variations of sensors, illuminators, imaging distance and imaging conditions. This paper aims to improve ...

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...

Problem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to ...

An iris recognition system is proposed in this paper. This system implements (a) the combination of proposed black hole search method and integro-differential operators for iris localization, (b) one-dimensional fractal analysis for feature extraction and (c) dissimilarity operator for matching. The black hole search method achieves 100% accuracy of pupil detection for both CASIA and MMU Iris d...

this research is considered to be a research to attract attention to the 3D iris compression to store the database of the iris. Actually, the 3D iris database cannot be found and in trying to solve this problem 2D iris database images are converted to 3D images just to implement the compression techniques used in 3D domain to test it and give an approximation results or to focus on this new dir...

Iris recognition is gaining popularity as a robust and reliable biometric technology. The intricate structure of the iris constitutes a powerful biometric modality utilized by iris recognition algorithms to extract biometric templates. Proposed approaches report recognition rates above 99% and equal error rates less than 1% on diverse data sets. Providing high accuracy iris recognition appears ...

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 this paper we are working on the Neural Network based classifier that solves the classification problem. The paper describes the multilayer perception approach to describe the neural network architecture. For this classifier we use the Fisher’s Iris Database (Fisher, 1936) available in MATLAB and on the Internet. This database is the preprocessed and is the best database in the pattern recog...

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...

Iris recognition is an invasive biometric technique used to identify human being. Iris is defined as annular region between pupil and sclera of human eye which exhibits extraordinary texture that is unique for each individual. Hence, imposes various challenges in accurate iris segmentation and feature extraction techniques to provide many opportunities for researchers in pursuing their research...