Iris recognition technologies for identity management are already deployed globally in several large-scale nationwide biometric projects and are currently entering the mobile market. More recently, periocular recognition has been employed to augment the biometric performance of the iris in unconstrained environments where only the ocular region is present in the image. Iris and Periocular Biometric Recognition provides an overview of scientific fundamentals and principles of iris and periocular biometric recognition over six broad areas: an introduction to iris and periocular recognition; a selective overview of issues and challenges; soft biometric classification; security aspects; privacy protection and forensics; and future trends. With contributions from experts in industry and academia, this book is essential reading for researchers, graduate students and practitioners in biometrics and related fields.
Les mer
This book provides an overview of scientific fundamentals and principles of iris and periocular biometric recognition. It covers: an introduction to iris and periocular recognition; a selective overview of issues and challenges; soft biometric classification; security aspects; privacy protection and forensics; and future trends.
Les mer
Part I: Introduction to iris and periocular recognitionChapter 1: Fundamentals of iris biometric recognitionChapter 2: An overview of periocular biometrics Part II: Issues and challengesChapter 3: Robust iris image segmentationChapter 4: Iris image quality metrics with veto power and nonlinear importance tailoringChapter 5: Iris biometric indexingChapter 6: Identifying the best periocular region for biometric recognitionChapter 7: Light field cameras for presentation attack resistant robust biometric ocular system Part III: Soft biometric classificationChapter 8: Gender classification from near infrared iris imagesChapter 9: Periocular-based soft biometric classificationChapter 10: Age predictive biometrics: predicting age from iris characteristics Part IV: Security aspectsChapter 11: Presentation attack detection in iris recognitionChapter 12: Contact lens detection in iris imagesChapter 13: Software attacks on iris recognition systems Part V: Privacy protection and forensicsChapter 14: Iris biometric template protectionChapter 15: Privacy-preserving distance computation for IrisCodesChapter 16: Identifying iris sensors from iris imagesChapter 17: Matching iris images against face images using a joint dictionary-based sparse representation scheme Part VI: Future trendsChapter 18: Iris biometrics for embedded systemsChapter 19: Mobile iris recognitionChapter 20: Future trends in iris recognition: an industry perspective
Les mer

Produktdetaljer

ISBN
9781785611681
Publisert
2017-09-01
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
496

Biographical note

Dr. Christian Rathgeb is a senior researcher with the Faculty of Computer Science, Hochschule Darmstadt, Germany. He has co-authored over 50 technical papers and a book in the field of iris biometrics. He is a principal investigator in the Center for Research in Security and Privacy (CRISP) and a Program Chair of the International Conference of the Biometrics Special Interest Group (BIOSIG). Prof. Dr. Christoph Busch is a member of the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology, Norway, and holds a joint appointment with the Faculty of Computer Science, Hochschule Darmstadt, Germany. He is a principal investigator for CRISP, a co-Founder of the European Association for Biometrics (EAB) and convener of WG3 in ISO/IEC JTC1 SC37 on Biometrics. He is a member of the steering committee of BIOSIG and serves on the editorial board of the IET Biometrics journal.