iris-identification IEEE PAPER 2017






Human Identification Using IRIS Recognition
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ABSTRACT Identification and verification of a person today is a common thing; which may include door-lock system and vehicle control or even at accessing bank accounts via ATM, etc. which is necessary for securing personal information. The conventional methods like ID

IRIS Biometric Recognition for Person Identification and Security
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ABSTRACT Todays e-security are in critical need of finding accurate, secure and cost effective alternatives to passwords and personal identification numbers (PIN) as financial losses increase dramatically year over year from computer-based fraud such as computer

Ordinal Measures: Personal Identification Based on Iris Patterns
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AbstractThis paper introduces the rich texture information of human iris which is useful for identity authentication. A key and still open issue in iris recognition is to represent such textual information using a compact set of features. Here we propose using ordinal

PERSONAL IDENTIFICATION BASED ON ORDINAL MEASURES OF IRIS PATTERNS
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ABSTRACT This paper introduces the rich texture information of human iris which is useful for identity authentication. A key and still open issue in iris recognition is to represent such textual information using a compact set of features. Here we propose using ordinal

Enhancement of Iris recognition system based on phase only correlation
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misidentification rate is 1/1200000 (ie: among 1200000 identifications, one identification is false) . Iris identification systems have been applied in access control, national ID card, border crossing, welfare distributions and missing children identification . Previously, several2. Review of literature In the process of iris recognition, it is essential to convert an acquired iris image into a suit- able encoding feature that can be easily manipulated for iris verification and identification processes. In accordance

Iris recognition
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a long and colorful history. However, the idea of using iris patterns for personal identification was originally proposed in 1936 by ophthalmologist Frank Burch, MD. In the 1980s the idea appeared in James Bond movies, but it remained science fiction

Biometric Solution for Person Identification Using Iris Recognition System
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The features extracted from the human iris can identify individuals even among genetically identical twins. A human iris is fully formed six months after birth and is invariant to physical changes, such as illness or pregnancy, as is the retina (eg, diabetic retinopathy). As a

Multimodal biometric personal identification system based on Iris Fingerprint
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Biometric systems can recognize individuals according to their physiological or behavioral characteristics. Many times due to some problems like noisy data, non-university, spoof attacks, and unacceptable error rates, a single biometric system cannot meet the desired

Personal iris recognition using neural network
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The human iris is not changeable and is stable. From one year of age until death, the patterns of the iris are relatively constant over a persons lifetime [ 3]. Because of this uniqueness and stability, iris recognition is a reliable human identification technique

An enhanced segmentation approach for iris detection
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Furthermore, an enhanced method based on the techniques of the mentioned two methods is proposed, which can guarantee the accuracy of the iris identification system Personal Identification Based on Iris Texture Analysis. IEEE Trans

Iris Recognition An Effective Human Identification
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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

Iris recognition techniques: A literature survey
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organs. Fig. 3 shows the iris charts used in Iridology concept . Later in 188 a French police official, Alphonse Bertillon suggested the use of iris for personal identification based on its texture and colour . James Doggart

A NOVEL APPROACH FOR AN ACCURATE HUMAN IDENTIFICATION THROUGH IRIS RECOGNITION USING BITPLANE SLICING AND NORMALISATION.
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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. Iris

Comparative analysis of robust iris recognition system using log gabor wavelet and laplacian of gaussian filter
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Daugman is the first one to give an algorithm for iris recognition. The algorithm gives the accuracy of more than 99.9%. Also the time required for iris identification is less than one second. Fig. 1: Structure of Eye Fig. 2: Iris Identification System Page 2

Achieving Privacy-Preserving Iris Identification Via El Gamal
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Currently, many biometric systems maintain the users biometrics and templates in plaintext format, which brings great privacy risk to uses biometric information. Biometrics are unique and almost unchangeable, which means it is a great concern for users on whether their

Implementation of wavelet transform-based algorithm for iris recognition system
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The database columns consist of an auto-incremented iris identification number, iris image path and iris codes L. Masek, Recognition of Human Iris Patterns for Biometric Identification , Ph.D. dissertation, The University of Western California

Iris recognition based on log-gabor and discrete cosine transform coding
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per- formance under variability, speed of enrolment and rec- ognition, and noncooperative identification remain to be addressed . The iris identification using analysis of the iris texture has attracted lot of attention and researchers have pre- sented variety of approaches

Indicator of reduction in soils ( IRIS ) for wetland identification in Queensland
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A large proportion of Queenslands wetlands are seasonal and ephemeral in nature. Identifying these wetlands is complex as field indicators (such as soil features and hydrophytic vegetation) only be present at times of saturation. The Indicator of

Iris based recognition system using wavelet transform
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On the other hand, the Haar wavelet is particularly suitable for implementing high-accuracy iris verification/ identification systems, as feature vector is at the least with respect to other wavelets B: A human identification technique using images of the iris and wavelet transform

Iris segmentation and normalization using Daugmans rubber sheet model
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Biometric technologies such as fingerprint, facial recognition, and iris recognition are deployed for verification and/or identification in applications such as access control, border management, and Identification systems. Iris is

Multimodal biometric person recognition system based on Iris and Palmprint using correlation filter classifier
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Index Terms Biometrics, Identification Iris Palmprint, MACE, PSR, Data fusion 3.(a) compares the performance of the open set iris identification system under the two filters (MACE and UMACE) and the two performance measures (Peak size and PSR)

Sum rule based matching score level fusion of fingerprint and Iris images for multimodal biometrics identification
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Basic aim of a biometric system is automatically discriminate between subjects as well as protects data. It also protects resources access from unauthorized users. In biometric system physical or behavioral traits are used for recognition purpose. A multimodal biometric

A GUI based Iris authentication system for secured access
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J. Daugman. Biometric personal identification system based on iris analysis. United States Patent, Patent Number: 29 560. R. Wildes 2 No. Korea. S. Noh, K. Pae, C. Lee, J. Kim. Multiresolution independent component analysis for iris identification

Half Iris versus Circular Iris Matching
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Abstract: Iris recognition system provides automatic identification of an individual based on a unique feature The iris identification was accepted in our world since the feature inside the iris is unchanged with the years and almost impossible to be imitated by others

Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition
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The Iris pattern of any animal (including human being) is statistically unique and suitable for biometric measurements. The identity of the animal concerned can be determined and verified comparing the templates obtained with the present algorithm with that template

Rank level fusion using fingerprint and iris biometrics
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450 45 Mar. 2005. Asim Baig, Ahmed Bouridane, Fatih Kurugollu, and Gang Qu, Fingerprint Iris Fusion based Identification System using a Single Hamming Distance Matcher , International Journal of Bio- Science and Bio- Technology, Vol. No. December

An extensive study of issues, challenges and achievements in iris recognition
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forensic. Iris recognition is one of the most booming biometric modalities. Due to its unique character as a biometric feature, iris identification and verification systems have become one of the most accurate biometric modality. In

Study of different IRIS recognition methods
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The method for iris identification by Emine Krichen [21] use a hybrid method for iris segmentation, Hough transform for outer iris boundary and integrodifferential operator for inner iris boundary. The iris code was produced using wavelet packets

Fusion of iris and palmprint traits for human identification
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Biometrics deals with identification of individuals based on their biological or behavioral characteristics. Iris recognition is one of the newer biometric technologies used for personal identification . This paper presents biometrics based Iris and palm print recognition system

Efficient iris and fingerprint fusion for person identification
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Security of information is one of the most important factors of information technology and communication. So systems need strong procedures to protect data and resources access from unauthorized users. Biometric-based authentication systems represent a valid

Performance evaluation of iris region detection and localization for biometric identification system
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The iris recognition technology is the most accurate, fast and less invasive one compared to other biometric techniques using for example fingerprints, face, retina, hand geometry, voice or signature patterns. The system developed in this study has the potential to play a key role

Computationally Efficient Serial Combination of Rotation-invariant and Rotation Compensating Iris Recognition Algorithms.
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Abstract: Rotation compensation is one of the computational bottlenecks in large scale irisbased identification schemes, since a significant amount of Hamming distance computations is required in a single match due to the neces- sary shifting of the iris codes to compensate for

Biometric iris recognition based on hybrid technique
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Person identification based on iris recognition gives one of the most reliable results [17] Padma Polash Paul*, Md. Maruf Monwar, Human Iris Recognition for Biometric Identification ,Ahsanullah University of Science and Technology, Dhaka, Bangladesh

Security-biometric identification
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acceptability → difficulty of circumvention AK Jain et al.: Biometrics Personal Identification in Networked Society. Kluwer. Security 2003 Biometrics 3 trusted and tamper-resistant sensor. Security 2003 Biometrics 6 Iris patterns Security 2003 Biometrics 7

Effectiveness of feature detection operators on the performance of iris biometric recognition system
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Table 1. The statistical details of SR, FAR and FRR of Iris Identification System using various edge detection operators Boles W, and Boashash B,(1998), A Human Identification Technique using Images of the Iris and Wavelet Transform , IEEE Trans. Signal Processing, Vol

A novel iris recognition system using morphological edge detector and wavelet phase features
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algorithm. Keywords: Biometric identification Iris recognition, morphology, Wavelet, Image processing 2002. [21] A. Poursaberi, BN Araabi, A Binary Representation of Iris Patterns for Individual Identification : Sensitivity Analysis ,

The Cyber Security Biometric Authentication based on Liveness Face- Iris Images and Deep Learning Classifier
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In Iris identification the physical characteristic of a person are taken by the device and its coded features are extracted and compared with the stored codes in the database and identification can be done when the rate of identification is in the range of predefined threshold value gait, palm-prints, hand geometry, etc.), iris is more stable and reliable for identification [4~6]. Furthermore, since the iris is an overt body, iris based personal identification systems can be non-invasive to their users[7~11], which is greatly impor- tant for practical applications

Performance Assessment of Color Spaces in Multimodal Biometric Identification with Iris and Palmprint using Thepades Sorted Ternary Block Truncation
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Biometrics refers to the automatic identification of an individual based on his/her physiological and behavioral traits. Multimodal person authentication system is more effective and more challenging. The fusion of multiple biometric traits helps to minimize the

A new encoding of iris images employing eight quantization levels
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process. Localization can be considered the one of the most difficult part in the iris identification system . Segmentation aims to accurately localize iris boundaries without noise (eyelids, eyelashes, reflection, occlusion). NormalizationGrain deviations and high extractives content are common features of many tropical woods. This study aimed at clarifying their respective impact on vibrational properties, referring to African Padauk (Pterocarpus soyauxii Taub.), a species selected for its interlocked grain

Improving performance by combining fingerprint and iris in multimodal biometric
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5 (3) 201 4522-4525 www.ijcsit.com 4523 Page 3. The used unimodal biometric systems 1) Iris Identification System Iris recognition is considered to be one of the most accurate biometric technologies when compared to other technologies commercially in use today

Texture analysis and unsupervised clustering for segmenting iris images
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The idea of iris identification for automated recognition was fi- nally patented by Aran Safir and Leonard Flom in 1987 [18] AK Bachoo and JR. Tapamo, A segmentation method to improve irisbased person identification , in Africon 200 200 vol. pp. 403 408
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