RESEARCH PAPERS

biometric iris research papers recent 2014




A Review On Advance Methods Of Feature Extraction In Iris Recognition System
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ABSTRACT: Iris recognition is one of the most accurate identity verification system. Since its initial introduction by J. Daughman, many methods have been proposed to enhance the performance. Many methods have been proposed to feature extraction by many

Iris Recognition based on Local Mean Decomposition
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Abstract: The increasing need for information security has led to more attention being given to biometrics-based, automated personal identification. Among existing biometric approaches, the human iris is the most promising technique. In general, an iris recognition

A biometric security device used in high security areas is an iris recognition system. Iris recognition systems read patterns in the iris of the eye. These patterns are as
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Smith 2 fingerprint. Iris recognition systems are quite expensive and are used by government security organizations, the military, and financial institutions that deal with highly sensitive data (Doe) 2. Biometric technology is a very effective way to keep information

Notre Dame Image Database for Contact Lens Detection In Iris Recognition-2013
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The images in this database were acquired with an LG 4000 and an IrisGuard AD100 iris camera. The images are 480x640 in size, and are intensity images acquired under near-IR illumination. The datasbase contains images of subjects in three conditions:(1) wearing

Identification of People by Iris Recognition
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Today we are looking that many problems in the world and fake identity is the main issue. this is serious problem of whole world. This is big challenge to identify fake person but biometric recognition system give challenge to this. There are many types of biometrics

Iris Recognition Using Fuzzy Level Set and GEFE
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Abstract:This paper presents an efficient algorithm for iris recognition using the spatial fuzzy clustering with level set method, and genetic and evolutionary feature extraction techniques. The novelty of this research effort is that we deploy a fuzzy c-means clustering

A Survey: IRIS Recognition With Different Techniques
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ABSTRACT Biometric recognition refers to an automatic recognition of individuals based on a feature vector derived from their physiological and/or behavioral characteristic. Iris recognition, a relatively new biometric technology Iris recognition is proving to be one of

Iris Recognition using curvelet transform based on principal component analysis and linear discriminant analysis
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Abstract. The iris texture curve features play an important role in iris recognition. Although better performance in terms of recognition effectiveness can be attained using the recognition approach based on the wavelet transform, the iris curve singularity cannot be

Reliability of automatic biometric iris recognition after phacoemulsification or drug-induced pupil dilation
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Biometric iris recognition (BIR) is one of the most use- ful recently adopted technologies for security checks and plays an increasingly important role in a wide range of ap- plications in personal identification. This includes electronic commerce, information security, entitlements

IRIS Recognition System Based On DCT-Matrix Coefficient
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Abstract: This paper presents a new iris coding method based on discrete cosine transform (DCT) Matrix coefficients. The feature extraction capabilities of the DCT Matrix are evaluated on largest publicly available eye image UBIRIS database. We have taken 990 images of

Development of Interactive Digital Media Content using Iris Recognition Techniques
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1. Background Today's interactive digital media creates dynamic, continuous, and multiple information communication, which overcome traditional single-medium based communications methods. Interactive media, which is characterized by two-way

Novel Iris Recognition Technique using Fractional Energies of Transformed Iris Images using Haar and Kekre Transforms
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Abstract:The theme of the work presented in the paper is novel Iris feature extraction technique using fractional energies of transformed iris image. To generate image transforms, Haar and Kekre transforms are used. The above transforms are applied on the iris images There is a growing worldwide trend to implement livestock traceability systems. This paper aims to explore how iris analysis and recognition can be utilised on cow identification to enhance cow management in its traceability system. In general, a typical cow identification

Recognition and identification schemes for the development of Eigen feature extraction based iris recognition system
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Abstract:There are various Iris recognition and identification schemes known to produce exceptional results with very less errors and at times no errors at all but are patented. Many prominent researchers have given their schemes for either recognition of the development

Iris Recognition based on Block Theory and Self-adaptive Feature Selection
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Abstract In order to improve the performance of iris recognition, a novel method for iris recognition based on block theory and self-adaptive feature selection is proposed in this paper. Firstly, the normalized iris image is decomposed by convolving with multi-scale and

Performance Analysis of Iris Recognition System-A Review
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Abstract In this Review paper, it is summarize and compare the methods of automatic identification of iris recognition used in different stages. In particular, Iris image acquisition, Segmentation, Normalization, Feature encoding and matching steps are studied and

A WPD Scanning Technique for Iris Recognition
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ABSTRACT In this paper, we propose an algorithm that scans the WPD coefficients in a way that preserves the amplitudes and relative locations of certain high–magnitude approximation coefficients while discarding the rest of the transform coefficients. The

IRIS Recognition and Authentication System for Enhancing Data Security
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E-ISSN: 2347-2693 IRIS Recognition and Authentication System for Enhancing Data Security Abstract: IRIS recognition is a method of biometric authentication that uses pattern recognition techniques based on high- resolution images of the IRIS es of an individual's eyes.

An overview and examination of iris recognition Algorithms
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Abstract: Iris recognition has become a popular research in recent years. Since its initial introduction by J. Daughman many methods have been proposed to enhance the performance. Due to its reliability and nearly perfect recognition rates, iris recognition is

DCT (Discrete Cosine Transform) Coefficient based Iris Recognition System.
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Abstract For achieving high security in varied areas, biometric system has become common analysis space over past decades. Biometric system provides machine-controlled personal identification supported distinctive features of an individual. Biometric system depends on

Enhancing Security and Privacy Issue in Airport by Biometric based Iris Recognition System using Matlab.
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Abstract: Few years ago a self service has been predominant way of passenger at airport. For the passenger that is a very enjoyable and comfort situation because it keeps control over all process during their complete journey. For airport and for airlines is also very interesting

A Comparative Study of Feature Extraction and Classification Methods for Iris Recognition.
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ABSTRACT Iris recognition is one of commonly employed biometric for personal recognition. In this paper, Single Value Decomposition (SVD), Automatic Feature Extraction (AFE), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are

An Enhanced Approach for Iris Recognition Using Fusion of FWT with Gabor Wavelet Transform and Daugman Encoding.
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This paper discusses iris recognition, which is accepted as one of the best biometric methods for identifying an individual. A comparative analysis is done for eight algorithms, namely DCWT, FWT, SWT, CWT, DB, Complex dual tree, Haar wavelet and Wavelet

An Efficient Iris Recognition System using Dual-tree Complex Wavelet Transform
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Abstract:The main idea behind this paper is to recognize a person by comparing his/her iris features with an iris feature database. A key and still open issue in iris recognition is how best to represent such textural details using a compact set of features (iris features). To

Iris Recognition Based on CPSO Algorithm for Optimizing Multichannel Gabor Parameters
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Abstract Gabor filter is widely used in the feature extraction of the iris recognition process, but the selection of parameters is the key and difficult point. This paper innovatively puts the Chaotic Particle Swarm Optimization (CPSO) applied to multichannel Gabor filter for

An Efficient Iris Recognition Method Based on Energy-orientation Histogram Feature Descriptor
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Abstract This paper presents a new iris feature descriptor, which first uses 2D-Gabor filter to extract energy orientation of iris texture before division, and then presents filtering distribution about the features within a block in each orientation statistics histographically. Iris recognition has been recently given greater attention in human identification and it is becoming increasingly an active topic in research. This paper presents a personal identification method based on iris. The method includes four steps. In the first one, the

Iris Recognition Algorithm based on MMC-SPP
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Abstract Sub patter algorithm does not consider the structure relationship between the same sample in different modes, it is difficult to accurately reveal the space features of the iris image, this paper proposes a iris recognition algorithm based on maximum margin

A Study of Image Enhancement for Iris Recognition
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Abstract:Iris recognition is one of the most prevalent methods for personal identification in the modern day. Low quality iris images that are blurry, of low resolution, and poor illumination poses a big challenge for iris recognition as the iris recognition efficiency is

Multibiometric System Using Iris and Thumb Recognition
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ABSTRACT A Multibiometric system relies on the evidence presented by multiple sources of biometric information. Most biometric systems that are presently in use, typically use a single biometric trait to establish identity (ie, they are unibiometric systems). Multibiometric

Implementation of Multibiometric System Using Iris and Thumb Recognition
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Abstract:A Multibiometric system relies on the evidence presented by multiple sources of biometric information. Most biometric systems that are presently in use, typically use a single biometric trait to establish identity (ie, they are unibiometric systems). Multibiometric

Iris Recognition using Wavelet Transformation Techniques
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Abstract-In this paper, we propose the novel techniques that we have developed to create Iris Recognition. With the help of a fusion mechanism that amalgamates both, a Canny Edge Detection scheme and a Circular Hough Transform, which is used to detect the iris'

Implementation of IRIS recognition for Securing Online Payment
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ABSTRACT Iris Recognition is considered as the best among all the biometric security due to its high recognition rate, iris is unique for every human and even uncorrelated for twins. The proposed document focuses on implementing the iris recognition in online payment

Functional Data Analysis as an Alternative for the Automatic Biometric Image Recognition:Iris Application
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Abstract. Functional data analysis has been a novel option for representing images, since the continuous nature of images is preserved. Image representation using functional data provides significant advantages, being the appreciable reduction of the dimensionality Most of the iris segmentation methods assume boundaries of iris as circle or ellipse, which is seldom true but exact iris is of slightly irregular shape. In the second method, we have segmented an iris of exact shape without any loss of iris data accurately by exploring the

Iris Feature Extraction and Recognition using Unbalanced Haar Wavelets Modified Multi Texton Histogram
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Abstract: Colored disk in the eye, the iris, attracted biometric Technologies to create potential and robust identification and verification systems designed for human identification in a no. of applications. Many techniques have been developed for iris recognition so far. Here, a

High Performance Biometric Recognition using Iris Feature Extraction and Palm print Features
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Abstract: Most real-life biometric systems are still unimodal. Unimodal biometric systems perform person recognition based on a single source of biometric information. Such systems are often affected by some problems such as noisy sensor data, nonuniversality and spoof

Generating an Iris Code Using Iris Recognition for Biometric Application
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Abstract One of the major issues in iris code is code generation technique has an error false report. In this paper, the templates produced by IrisCode and its generalization are convex polyhedral cones. Each convex polyhedral cone represents one iris template but an iris is

Implementation of IRIS Recognition System using Phase Based Image Matching Algorithm
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Abstract: This paper presents an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in two dimensional discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition with a

IRIS RECOGNITION USING IMAGE PROCESSING AND NEURAL NETWORK
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ABSTRACT This research is aimed to design an iris recognition system. There are two main steps to verify the goal. First, applying image processing techniques on the picture of an eye for data preparation. Second, applying Neural Networks techniques for identification. The

Probability distribution function based iris recognition system boosted by the mean rule
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The demand for an efficient and reliable means of identification has increased rapidly, mainly because of the events like 9/11 in the USA or 7/7 in London. Different institutions are willing to invest more and more of their financial resources to develop a method that is

Quality Assessment in Iris Recognition for Mobile Applications
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Abstract Automatic identity recognition is a currently important issue due to the growing concern of contemporary societies with their own security and the security of their data, essentially due to the increasing of illegal acts. Due to technological evolution, biometric

SYNTHESIS THE OCULAR IMAGES ON IRIS RECOGNITION BY USING LDA TECHNIQUES
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Abstract-Biometric can provide substantial help is in guarding against attempts to establish fraudulent multiple identifies or prevent identity fraud. By searching through the stored references, individuals who appear to have previously enrolled using a different identity

iris recognition papers



Recognition of human iris patterns for biometric identification
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ABSTRACT 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. Most commercial 

A system for non-intrusive human iris acquisition and identification
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We describe an application of machine vision for the non-intrusive active acquisition and identification of human irises. Daugman [4] has shown that the pattern of every individual's iris is highly distinctive, and may therefore be used as a distinguishing biometric. The IRIS 

A one-dimensional approach for iris identification
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ABSTRACT A novel approach to iris recognition is proposed in this paper. It differs from traditional iris recognition systems in that it generates a one-dimensional iris signature that is translation, rotation, illumination and scale invariant. The Du Measurement was used as a 

Testing iris and face recognition in a personnel identification application
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Page 1. Dr. Steven King Testing Iris and Face Recognition in a Personnel Identification Application 1 Testing Iris and Face Recognition in a  Page 2. Dr. Steven King Testing Iris and Face Recognition in a Personnel Identification Application 2 Pilot Study Objectives 

Video pupil tracking for iris based identification
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ABSTRACT Currently, iris identification systems are not easy to use since they need a strict cooperation of the user during the snapshot acquisition process. Several acquisitions are generally needed to obtain a workable image of the iris for recognition purpose. To make 

Secure and efficient protocols for iris and fingerprint identification
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Recent advances in biometric recognition and the increasing use of biometric data prompt significant privacy challenges associated with the possible misuse, loss, or theft of biometric data. Biometric matching is often performed by two mutually distrustful parties, one of 

Iris biometrics verifiers for low cost identification tokens
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ABSTRACT The use of biometrics is increasing everyday, as security is becoming one of the most important concerns in Information society. In Biometrics, one of the most promising techniques is iris recognition, which presents lower error rates than other biometrics 

Efficient identification based on human iris patterns
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ABSTRACT This paper proposes a person identification system (PID), which works with non- illumination low-resolution eye images. Radial-Scan and threshold methods are used for Iris normalization and Iris segmentation from the eye image respectively. Conventional neural 

Person Identification through IRIS Recognition
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ABSTRACT In this paper we propose a new biometric-based Iris feature extraction system. The system automatically acquires the biometric data in numerical format (Iris Images) by using a set of properly located sensors. We are considering camera as a high quality sensor. Iris 

Eyelid localization for iris identification
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ABSTRACT This article presents a new eyelid localization algorithm based on a parabolic curve fitting. To deal with eyelashes, low contrast or false detection due to iris texture, we propose a two steps algorithm. First, possible edge candidates are selected by applying 

Implementation on SoPC of algorithms dedicated to Iris identification
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ABSTRACT This paper presents a biometric technology for identifying people based on iris. An algorithm using wavelet packet analysis is presented. The identification process starts with iris capture, localization and unwrapping. Then wavelet transform is applied and a 

Learning Iris Biometric Digital Identities for Secure Authentication: A Neural-Evolutionary Perspective Pioneering Intelligent Iris Identification
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This chapter discusses the latest trends in the field of evolutionary approaches to iris recognition, approaches which are compatible with the task of multi-enrollment in a biometric authentication system based on iris recognition, and which are also able to 

Iris identification system using tree-structured wavelet algorithm'
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ABSTRACT The unique iris structures motivate the development of an automatic identification system based on iris characteristic. Texture analysis with multichannel filtering approach is meant to extract feature from iris texture images and encode them into a compact and 

Hierarchical fusion of face and iris for personal identification
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ABSTRACT Most existing face and iris fusion schemes are concerned about improving performance on good quality images under controlled environments. In this paper, we propose a hierarchical fusion scheme for low quality images under uncontrolled situations 

ISIS: Iris segmentation for identification systems
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ABSTRACT Advances in processing procedures make the iris a realistic candidate to the role of biometry of the future. Precise detection and segmentation for such biometry are a crucial ongoing research area. We propose an iris segmentation technique and show that it is 

Nonintrusive iris image extraction for iris recognition-based biometric identification
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ABSTRACT This paper proposes a new approach to obtain iris images without requiring the person to look directly into the camera. Most biometric identification methods using iris recognition assume that the eye image of the person is available, and are only concerned 

Improved Biometric Recognition and Identification of Human Iris Patterns Using Neural Networks
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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. An approach for accurate 

Iris Identification from a Distance
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Biometrics is a developing field that uses a person's actual features to identify him or her rather than a key or card they possess, or a password they know. A few of the features used as biometrics include fingerprints, DNA, face and hand geometries, and the patterns in the 

Biometric Verification and Biometric Identification of a Person by Methods of Statistical Analysis of Digitized Iris Images
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ABSTRACT This paper concerns the practical aspects of personal identification based on a statistical analysis of their digitized iris images. Presuming the existence of a database of their numeral representation it is possible to approach the identification process in two 

Personal Identification with Human Iris Recognition based on Wavelet Transform
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ABSTRACT This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. The feature extraction module 

A New Iris Identification Method Based On Ridgelet Transform
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ABSTRACT Iris recognition system provides an approach for individual identification and is regarded as the sophisticated biometric identification system. Therefore, the exclusive features of iris patterns should be extracted and processed. In this paper, a new feature 

Person Identification System Using Fusion of Matching Score of Iris
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ABSTRACT Human iris provides a unique structure suitable for non-invasive biometric assessment. In particular the irises are as distinct as fingerprints even for twins. In this paper a system for person identification is presented that uses a technique of localization, 

IRIS RECOGNITION–AN EFFECTIVE HUMAN IDENTIFICATION
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ABSTRACT In this paper, we characterize the basic concepts and techniques used to create and evaluate an Iris Recognition System. We aim to discuss whether and how we can make iris recognition easier. A fusion mechanism and a Circular Hough Transform are being 

Singular value decomposition and 2d Principal Component Analysis of iris-biometrics for automatic human identification
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Measurement of the information for identification in iris images
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For the MASc. degree in Electrical Engineering  Ottawa-Carleton Institute for Electrical and Computer Engineering  The faculty of Graduate Studies and Research  CCD Charge Coupled Device EER Equal Error Rate FAR False Accept Rate FER Failure to Enroll Rate FMR 

Human Identification and Verification Using Iris Recognition by Calculating Hamming Distance
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A kumar Dewangan, MA Siddhiqui ,International Journal of Soft Computing ABSTRACT 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. Most commercial 

IRIS–A BIOMETRIC METHOD OF IDENTIFICATION OF PERSONS
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ABSTRACT Biometric identification of persons is based on physical (face, fingerprint, iris, retina, hand geometry) and behavioural (gait, keystroke dynamics, signature) characteristics which are unique for each and every person. Biometric identification methods allow for higher 

Efficient Biometric for Human Identification and Verification through Iris Recognition
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CN Kayte, VP Pawar, CD Sonwane ,Indian Streams Research Journal The work presented in this paper involved developing an iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric. For determining the recognition performance of the system one databases of digitized 


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