Iris Image Recognition
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Iris Image Recognition
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Author : Amol D. Rahulkar
language : en
Publisher: Springer
Release Date : 2014-05-12
Iris Image Recognition written by Amol D. Rahulkar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Technology & Engineering categories.
This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes. This book contains the compilation of basic material on the design of wavelets that avoids reading many different books. Therefore, it provides an easier path for the new-comers, researchers to master the contents. In addition, the designed filter banks and classifier can also be effectively used than existing filter-banks in many signal processing applications like pattern classification, data-compression, watermarking, denoising etc. that will give the new directions of the research in the relevant field for the readers.
Handbook Of Iris Recognition
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Author : Kevin W. Bowyer
language : en
Publisher: Springer
Release Date : 2016-07-28
Handbook Of Iris Recognition written by Kevin W. Bowyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-28 with Computers categories.
The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.
Iris Analysis For Biometric Recognition Systems
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Author : Rajesh M. Bodade
language : en
Publisher: Springer
Release Date : 2014-05-07
Iris Analysis For Biometric Recognition Systems written by Rajesh M. Bodade and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Technology & Engineering categories.
The book presents three most significant areas in Biometrics and Pattern Recognition. A step-by-step approach for design and implementation of Dual Tree Complex Wavelet Transform (DTCWT) plus Rotated Complex Wavelet Filters (RCWF) is discussed in detail. In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.
Iris Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-05
Iris Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-05 with Computers categories.
What is Iris Recognition Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance. The discriminating powers of all biometric technologies depend on the amount of entropy they are able to encode and use in matching. Iris recognition is exceptional in this regard, enabling the avoidance of "collisions" even in cross-comparisons across massive populations. Its major limitation is that image acquisition from distances greater than a meter or two, or without cooperation, can be very difficult. However, the technology is in development and iris recognition can be accomplished from even up to 10 meters away or in a live camera feed. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Iris recognition Chapter 2: Retinal scan Chapter 3: John Daugman Chapter 4: Biometric points Chapter 5: Eye vein verification Chapter 6: Biometric device Chapter 7: Private biometrics Chapter 8: Aadhaar Chapter 9: Biometrics in schools Chapter 10: Aadhaar Act (II) Answering the public top questions about iris recognition. (III) Real world examples for the usage of iris recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Iris Recognition.
Iris Recognition In Eigen Space
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Author : Abhijit Das
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013-01
Iris Recognition In Eigen Space written by Abhijit Das and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01 with categories.
This work proposes novel approaches for iris recognition in the context of biometric identification of a person. The iris is a portion of the inner eye of an individual and contains an abstract and randomly generated texture pattern arising from orientation of complex tissues within this region. This random pattern can provide a unique identifier of a person if a mathematical model can be built to represent and compare it. The manuscript consist of two approaches .In first approach the iris images are mapped to Eigen-space and a robust iris code signature is generated from different camera snapshots of the same eye to incorporate tonal and lighting variations. The covariance matrix of the images is computed and they are converted to a row vector, to enable real-time identification the signature is represented as a low dimensional feature for reducing computational overheads. This book is dedicated to my Parents Nani Gopal Das & Gitasri Das, and also to my research guide.
Swarm Intelligence For Iris Recognition
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Author : Zaheera Zainal Abidin
language : en
Publisher: CRC Press
Release Date : 2021-11-25
Swarm Intelligence For Iris Recognition written by Zaheera Zainal Abidin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Computers categories.
Iris recognition is one of the highest accuracy techniques used in biometric systems. The accuracy of the iris recognition system is measured by False Reject Rate (FRR), which measures the authenticity of a user who is incorrectly rejected by the system due to changes in iris features (such as aging and health condition) and external factors that affect iris image, for instance, high noise rate. External factors such as technical fault, occlusion, and source of lighting that causes the image acquisition to produce distorted iris images create error, hence are incorrectly rejected by the biometric system. FRR can be reduced using wavelets and Gabor filters, cascaded classifiers, ordinal measures, multiple biometric modalities, and a selection of unique iris features. Nonetheless, in the long duration of the matching process, existing methods were unable to identify the authenticity of the user since the iris structure itself produces a template changed due to aging. In fact, the iris consists of unique features such as crypts, furrows, collarette, pigment blotches, freckles, and pupils that are distinguishable among humans. Earlier research was done by selecting unique iris features. However, these had low accuracy levels. A new way of identifying and matching the iris template using the nature-inspired algorithm is described in this book. It provides an overview of iris recognition that is based on nature-inspired environment technology. The book is useful for students from universities, polytechnics, community colleges; practitioners; and industry practitioners.
Design And Implementation Of Iris Pattern Recognition Based On Wireless Network Systems
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Author : Thura Ali Khalaf
language : en
Publisher: GRIN Verlag
Release Date : 2019-06-04
Design And Implementation Of Iris Pattern Recognition Based On Wireless Network Systems written by Thura Ali Khalaf and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Computers categories.
Master's Thesis from the year 2016 in the subject Computer Science - Technical Computer Science, grade: 81, , language: English, abstract: The goal of this thesis is to propose a fast and accurate iris pattern recognition system based on wireless network system. This thesis presents three parts; in the first part, Libor Masek algorithm is enhanced to achieve higher recognition rate. Another method of iris pattern recognition is proposed which named genetic algorithm. The two used iris pattern recognition methods are compared according to their accuracy and execution time. When testing persons of the Chinese Academy of Sciences Institute of Automation (CASIA) database, both methods achieved 100% recognition rates because there is at least one image sample for each person, which is correct matched and there is no person that is false matched. But when testing image samples per persons of CASIA database, the genetic algorithm achieved higher recognition rates and lower error rates than Libor Masek algorithm. It has been found, that the recognition time of genetic algorithm is less than Masek algorithm. The second part presents an iris image compression/decompression by using Principal Component Analysis (PCA) for compression process and Inverse Principal Component Analysis (IPCA) for decompression process. It has been proven that PCA is the most suitable method for compressing iris images because of its ability to reduce their size while maintaining the good quality of the reconstructed images. Reconstructed images using IPCA have low compression ratios (CRs) and high Peak to Signal Ratios (PSNRs), which leads to good quality. For more security, a multi-stage image compression is performed in order to protect network’s transmitted data from hackers because hackers cannot guess how much the image has been compressed. The third part, includes wireless network system consisting of one central Personal Computer (PC) and four Personal Computers (PCs) that communicate with each other through router device. The central PC takes the responsibility of monitoring and controlling the PCs of the whole network. All network PCs communicate with each other by using Transmission Control Protocol /Internet Protocol (TCP/IP) protocol suite that use client-server sockets to transfer images between PCs on the network.
Biometric Iris Image Segmentation And Feature Extraction For Iris Recognition
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Author : Charles Onyebuchi Ukpai
language : en
Publisher:
Release Date : 2016
Biometric Iris Image Segmentation And Feature Extraction For Iris Recognition written by Charles Onyebuchi Ukpai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Digital Image Processing An Introduction
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Author : Bimi Jain
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013
Digital Image Processing An Introduction written by Bimi Jain and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This text is an informative depicting illustrating a genuine research under natural/room conditions. Human Iris recognition is the subject of research. Iris images are captured from high resolution cameras and have been converted to mathematical values and model after being converted to digital image.Two such research methods have been elaborately explained. The text also introduces basic concepts and techniques of digital image processing and gives ideas for new research method. Biometric technology is also breifly introduced.
Iris Biometrics
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Author : Christian Rathgeb
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-08
Iris Biometrics written by Christian Rathgeb and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-08 with Computers categories.
Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.