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Full Description
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.
Contents
Part I: Introduction to iris and periocular recognition
Chapter 1: Fundamentals of iris biometric recognition
Chapter 2: An overview of periocular biometrics
Part II: Issues and challenges
Chapter 3: Robust iris image segmentation
Chapter 4: Iris image quality metrics with veto power and nonlinear importance tailoring
Chapter 5: Iris biometric indexing
Chapter 6: Identifying the best periocular region for biometric recognition
Chapter 7: Light field cameras for presentation attack resistant robust biometric ocular system
Part III: Soft biometric classification
Chapter 8: Gender classification from near infrared iris images
Chapter 9: Periocular-based soft biometric classification
Chapter 10: Age predictive biometrics: predicting age from iris characteristics
Part IV: Security aspects
Chapter 11: Presentation attack detection in iris recognition
Chapter 12: Contact lens detection in iris images
Chapter 13: Software attacks on iris recognition systems
Part V: Privacy protection and forensics
Chapter 14: Iris biometric template protection
Chapter 15: Privacy-preserving distance computation for IrisCodes
Chapter 16: Identifying iris sensors from iris images
Chapter 17: Matching iris images against face images using a joint dictionary-based sparse representation scheme
Part VI: Future trends
Chapter 18: Iris biometrics for embedded systems
Chapter 19: Mobile iris recognition
Chapter 20: Future trends in iris recognition: an industry perspective