Iris Image Recognition

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Handbook of Iris Recognition

Author : Kevin W. Bowyer,Mark J. Burge
Publisher : Springer
Page : 568 pages
File Size : 44,6 Mb
Release : 2016-07-28
Category : Computers
ISBN : 9781447167846

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Handbook of Iris Recognition by Kevin W. Bowyer,Mark J. Burge Pdf

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 Image Recognition

Author : Amol D. Rahulkar,Raghunath S. Holambe
Publisher : Springer
Page : 84 pages
File Size : 52,7 Mb
Release : 2014-05-12
Category : Technology & Engineering
ISBN : 9783319067674

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Iris Image Recognition by Amol D. Rahulkar,Raghunath S. Holambe Pdf

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.

Iris Biometrics

Author : Christian Rathgeb,Andreas Uhl,Peter Wild
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 53,5 Mb
Release : 2012-11-08
Category : Computers
ISBN : 9781461455714

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Iris Biometrics by Christian Rathgeb,Andreas Uhl,Peter Wild Pdf

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.

Swarm Intelligence for Iris Recognition

Author : Zaheera Zainal Abidin
Publisher : Unknown
Page : 135 pages
File Size : 52,7 Mb
Release : 2022
Category : Biometric identification
ISBN : 0367627507

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Swarm Intelligence for Iris Recognition by Zaheera Zainal Abidin Pdf

"Iris recognition has been widely recognized as one of the most performing biometric system. The accuracy performance of iris recognition system is measured by FRR (False Reject Rate). FRR measures the genuine user who is incorrectly denied by the system due to the changes in iris features (such as aging and health condition) and external factors that affected the iris image to be high in noise rate. The external factors such as technical fault, occlusion, and source of lighting caused the image acquisition to produce distorted iris images problem hence incorrectly rejected by the biometric system. The current way of reducing FRR are wavelets and Gabor filters, cascaded classifiers, ordinal measure, multiple biometric modality and selection of unique iris features. Nonetheless, in the long duration of matching process, the previous methods unable to identify the user as a genuine since the iris structure itself produce a template changed due to aging. In facts, iris consists of unique features such as crypts, furrows, collarette, pigment blotches, freckles and pupil that are distinguishable among human. Previous research has been done in selecting the unique iris features however it shows low accuracy performance. Therefore, a new way of identifying and matching the iris template using nature-inspired algorithm is proposed in this book. As a conclusion, this book entitled as "Swarm Intelligence for Iris Recognition" brings an overview of iris recognition that naturally based on nature-inspired environment technology and provides benefits to the reader"--

Iris Analysis for Biometric Recognition Systems

Author : Rajesh M. Bodade,Sanjay N. Talbar
Publisher : Springer
Page : 109 pages
File Size : 48,6 Mb
Release : 2014-05-07
Category : Technology & Engineering
ISBN : 9788132218531

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Iris Analysis for Biometric Recognition Systems by Rajesh M. Bodade,Sanjay N. Talbar Pdf

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

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 155 pages
File Size : 41,8 Mb
Release : 2024-05-05
Category : Computers
ISBN : PKEY:6610000562183

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Iris Recognition by Fouad Sabry Pdf

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 and Periocular Biometric Recognition

Author : Christian Rathgeb,Christoph Busch
Publisher : IET
Page : 497 pages
File Size : 53,7 Mb
Release : 2017-07-24
Category : Computers
ISBN : 9781785611681

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Iris and Periocular Biometric Recognition by Christian Rathgeb,Christoph Busch Pdf

This book covers iris and periocular recognition, a prominent field in Biometrics Recognition and Identity Science in the areas of security, computing, and communications research and technologies. Selected topics cover a wide spectrum of current research, focusing on periocular recognition to augment the biometric performance of the iris in unconstrained environments, paving the way for multi-spectral biometric recognition on mobile devices. Divided into three parts, this text covers the most recent research and future directions as well as security related topics.

Advances in Biometrics

Author : David Zhang
Publisher : Springer Science & Business Media
Page : 814 pages
File Size : 42,7 Mb
Release : 2006-02-10
Category : Business & Economics
ISBN : 9783540311119

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Advances in Biometrics by David Zhang Pdf

This book constitutes the refereed proceedings of the International Conference on Biometrics, ICB 2006, held in Hong Kong, China in January 2006. The book includes 104 revised full papers covering such areas of biometrics as the face, fingerprint, iris, speech and signature, biometric fusion and performance evaluation, gait, keystrokes, and more. In addition the results of the Face Authentication Competition (FAC 2006) are also announced in this volume.

Swarm Intelligence for Iris Recognition

Author : Zaheera Zainal Abidin
Publisher : CRC Press
Page : 154 pages
File Size : 55,8 Mb
Release : 2021-11-24
Category : Computers
ISBN : 9781000508215

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Swarm Intelligence for Iris Recognition by Zaheera Zainal Abidin Pdf

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.

Pattern Recognition and Image Analysis

Author : Jorge S. Marques
Publisher : Springer Science & Business Media
Page : 742 pages
File Size : 43,7 Mb
Release : 2005-05-23
Category : Computers
ISBN : 9783540261544

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Pattern Recognition and Image Analysis by Jorge S. Marques Pdf

The two-volume set LNCS 3522 and 3523 constitutes the refereed proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. The 170 revised full papers presented were carefully reviewed and selected from 292 submissions. The papers are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, human activity analysis, surveillance, robotics, hardware architectures, statistical pattern recognition, syntactical pattern recognition, image analysis, document analysis, bioinformatics, medical imaging, biometrics, speech recognition, natural language analysis, and applications.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Alvaro Pardo,Josef Kittler
Publisher : Springer
Page : 787 pages
File Size : 55,9 Mb
Release : 2015-10-24
Category : Computers
ISBN : 9783319257518

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Alvaro Pardo,Josef Kittler Pdf

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Ingela Nyström,Yanio Hernández Heredia,Vladimir Milián Núñez
Publisher : Springer Nature
Page : 800 pages
File Size : 40,6 Mb
Release : 2019-10-25
Category : Computers
ISBN : 9783030339043

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Ingela Nyström,Yanio Hernández Heredia,Vladimir Milián Núñez Pdf

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Advances in Pattern Recognition ICAPR2003

Author : Anonim
Publisher : Allied Publishers
Page : 528 pages
File Size : 41,5 Mb
Release : 2003
Category : Pattern recognition systems
ISBN : 8177645323

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Advances in Pattern Recognition ICAPR2003 by Anonim Pdf

Biometric Recognition

Author : Zhenan Sun,Shiguang Shan,Haifeng Sang,Jie Zhou,Yunhong Wang,Weiqi Yuan
Publisher : Springer
Page : 545 pages
File Size : 42,7 Mb
Release : 2014-10-29
Category : Computers
ISBN : 9783319124841

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Biometric Recognition by Zhenan Sun,Shiguang Shan,Haifeng Sang,Jie Zhou,Yunhong Wang,Weiqi Yuan Pdf

This book constitutes the refereed proceedings of the 9th Chinese Conference on Biometric Recognition, CCBR 2014, held in Shenyang, China, in November 2014. The 60 revised full papers presented were carefully reviewed and selected from among 90 submissions. The papers focus on face, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, application and system of biometrics, multi-biometrics and information fusion, other biometric recognition and processing.

Pattern Recognition

Author : Jesús Ariel Carrasco-Ochoa,Jose Francisco Martinez-Trinidad,Joaquin Salas Rodriguez,Gabriella Sanniti di Baja
Publisher : Springer
Page : 386 pages
File Size : 49,5 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783642389894

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Pattern Recognition by Jesús Ariel Carrasco-Ochoa,Jose Francisco Martinez-Trinidad,Joaquin Salas Rodriguez,Gabriella Sanniti di Baja Pdf

This book constitutes the refereed proceedings of the 5th Mexican Conference on Pattern Recognition, MCPR 2013, held in Huatulco, Mexico, in June 2013. The 36 revised full papers and two keynotes presented were carefully reviewed and selected from 81 submissions and are organized in topical sections on computer vision; image processing; pattern recognition and artificial intelligence; neural networks; document processing.