Iris And Periocular Biometric Recognition by Christian RathgebIris And Periocular Biometric Recognition by Christian Rathgeb

Iris And Periocular Biometric Recognition

EditorChristian Rathgeb, Christoph Busch

Hardcover | July 24, 2017

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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.

Christian Rathgeb is at Darmstadt University, Germany.Christoph Busch is at Gjovik University College, Norway.
Title:Iris And Periocular Biometric RecognitionFormat:HardcoverDimensions:496 pages, 9.21 × 6.14 × 0.04 inPublished:July 24, 2017Publisher:The Institution of Engineering and TechnologyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1785611682

ISBN - 13:9781785611681

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Table of 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