Iris And Periocular Biometric Recognition PDF Download
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| Author | : Christian Rathgeb |
| Publisher | : IET |
| Total Pages | : 497 |
| Release | : 2017-07-24 |
| Genre | : Computers |
| ISBN | : 1785611682 |
Download Iris and Periocular Biometric Recognition Book in PDF, ePub and Kindle
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.
| Author | : Ajay Kumar |
| Publisher | : Elsevier |
| Total Pages | : 310 |
| Release | : 2024-06-28 |
| Genre | : Computers |
| ISBN | : 0443273197 |
Download Iris and Periocular Recognition using Deep Learning Book in PDF, ePub and Kindle
This book systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques. ? Provides insightful algorithmic details into highly efficient and precise iris recognition using deep neural networks ? Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms ? Presents iris recognition algorithms specifically designed to bolster metaverse security, featuring specialized techniques for iris detection, segmentation, and matching ? Offers illustrative examples and comparative analysis, establishing reliability and confidence in deep learning-based methods over widely used conventional methods ? Provides access to the original codes and databases
| Author | : Rajesh M. Bodade |
| Publisher | : Springer |
| Total Pages | : 121 |
| Release | : 2014-05-07 |
| Genre | : Technology & Engineering |
| ISBN | : 8132218531 |
Download Iris Analysis for Biometric Recognition Systems Book in PDF, ePub and Kindle
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.
| Author | : Kevin W. Bowyer |
| Publisher | : Springer |
| Total Pages | : 578 |
| Release | : 2016-07-28 |
| Genre | : Computers |
| ISBN | : 1447167848 |
Download Handbook of Iris Recognition Book in PDF, ePub and Kindle
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.
| Author | : Nirgish Kumar |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-12 |
| Genre | : |
| ISBN | : 9781835800713 |
Download Periocular Biometrics for Human Recognition Book in PDF, ePub and Kindle
As statistics become additional rife in society, the analysis space is antic- ipated to deal with an ever widening field of issues and conditions. Ancient biometric modalities and approaches area unit reaching a state of maturity, and their limits area unit clearly outlined. Since the requirements of a biometric computer user would possibly extend on the far side those limits, new modalities and techniques should address such considerations. The goal of the work presented here is to explore the periocular region, the region close the attention, and evaluate its usability and limitations in addressing these considerations. First, a study of the periocular region was performed to look at its impracticable in addressing issues that have an effect on ancient face- and iris- based biometric systems. Second, the body of the periocular region was analyzed to see the types of options found there and the way they influence the performance of a biometric recognition system. Third, the employment of native look based mostly approaches in periocular recognition was explored. Lastly, the knowledge gained from the previous experiments was accustomed develop a unique feature representa- tion technique that's specific to the periocular region. This work is critical be-cause it provides a unique analysis of the options found within the periocular region and pro- duces a feature extraction technique that resulted in higher recognition performance over ancient techniques.
| Author | : Christian Rathgeb |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 371 |
| Release | : 2012-11-08 |
| Genre | : Computers |
| ISBN | : 1461455715 |
Download Iris Biometrics Book in PDF, ePub and Kindle
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.
| Author | : Wei-Shi Zheng |
| Publisher | : Springer |
| Total Pages | : 401 |
| Release | : 2013-12-06 |
| Genre | : Computers |
| ISBN | : 3642351360 |
Download Biometric Recognition Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 7th Chinese Conference on Biometric Recognition, CCBR 2012, held in Guangzhou, China, in December 2012. The 46 revised full papers were carefully reviewed and selected from 80 submissions. The papers address the problems in face, iris, hand biometrics, speaker, handwriting, gait, soft biometrics, security and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.
| Author | : Zhenan Sun |
| Publisher | : Springer |
| Total Pages | : 558 |
| Release | : 2014-10-29 |
| Genre | : Computers |
| ISBN | : 3319124846 |
Download Biometric Recognition Book in PDF, ePub and Kindle
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.
| Author | : Maria De Marsico |
| Publisher | : Academic Press |
| Total Pages | : 250 |
| Release | : 2017-01-09 |
| Genre | : Computers |
| ISBN | : 0081007124 |
Download Human Recognition in Unconstrained Environments Book in PDF, ePub and Kindle
Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 155 |
| Release | : 2024-05-05 |
| Genre | : Computers |
| ISBN | : |
Download Iris Recognition Book in PDF, ePub and Kindle
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.
