Iris and Periocular Biometric Recognition

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.

• 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