Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scien ....etc

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UTHENTICATION BASED ON IRIS RECOGNITION: iris recognition is related to scanning eyes and authenticating similar to finger print authentication. We scan the top layer of the eye that is iris and authenticate the person. ....etc

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Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scie ....etc

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Abstract
This project work entitled - IRIS RECOGNITION SYSTEM is aimed at solving the security problem by checking the validity of persons. The main application of this project will be in security is assured on the basis of image identification. This project can be extended by using CCD(Change Coupling Device) camera either active or passive way. We can store the iris images for the identification. This method provides for a much more user friendly experience. We can use the iris as a living password. National border controls the iris as a ....etc

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Description : A recent emphasis on security has resulted in increased research attention being offered to the field of individual identification based on biometrics. A biometric feature is an inherent physical or behavioural trait that is unique among individuals. Easily acquired biometric features include fingerprints, gait, facial features, and voice. In addition to these, the human iris can also be considered a valid biometric feature for personal identification. The iris is the coloured ring on the human eye between the pupil and the white ....etc

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Hi,sir i need urgently source code of iris recognition....please help me ....etc

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An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet

Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pa ....etc

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Automated Iris Recognition Technology & Iris Biometric System
The Iris as a Biometrics: The iris is an overt body that is available for remote assessment with the aid of a machine vision system to do automated iris recognition.
Iris recognition technology combines computer vision, pattern recognition, statistical inference, and optics.
The spatial patterns that are apparent in the human iris are highly distinctive to an individual.
Clinical observations
Developmental biology
Overview
Its suitability as ....etc

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iris recognition is related to scanning eyes and authenticating similar to finger print authentication.we scan the top layer of the eye that is IRIS and authenticate the person. ....etc

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Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification, and at the same time, the difficulty in effectively representing such details in an image. This paper describes an efficient algorithm for iris recognition by characterizing key local variations. The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image structure, are utilized to represent the characteristi ....etc

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