Iris and Periocular Biometric Recognition
Herausgeber: Rathgeb, Christian; Busch, Christoph
Iris and Periocular Biometric Recognition
Herausgeber: Rathgeb, Christian; Busch, Christoph
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Institution of Engineering & Technology
- Seitenzahl: 496
- Erscheinungstermin: 24. Juli 2017
- Englisch
- Abmessung: 239mm x 160mm x 30mm
- Gewicht: 862g
- ISBN-13: 9781785611681
- ISBN-10: 1785611682
- Artikelnr.: 48254811
- Verlag: Institution of Engineering & Technology
- Seitenzahl: 496
- Erscheinungstermin: 24. Juli 2017
- Englisch
- Abmessung: 239mm x 160mm x 30mm
- Gewicht: 862g
- ISBN-13: 9781785611681
- ISBN-10: 1785611682
- Artikelnr.: 48254811
1. Part I: Introduction to iris and periocular recognition
* Chapter 1: Fundamentals of iris biometric recognition
* Chapter 2: An overview of periocular biometrics
2. 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
3. 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
4. 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
5. 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
6. 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
* Chapter 1: Fundamentals of iris biometric recognition
* Chapter 2: An overview of periocular biometrics
2. 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
3. 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
4. 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
5. 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
6. 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
1. Part I: Introduction to iris and periocular recognition
* Chapter 1: Fundamentals of iris biometric recognition
* Chapter 2: An overview of periocular biometrics
2. 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
3. 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
4. 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
5. 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
6. 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
* Chapter 1: Fundamentals of iris biometric recognition
* Chapter 2: An overview of periocular biometrics
2. 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
3. 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
4. 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
5. 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
6. 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