rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Iris and periocular biometric recognition
  name:
    name part: Rathgeb, Christian
    role:
      role term: editor.
  name:
    name part: Busch, Christoph
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: enk
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: The book reviews developments in the following fields: periocular biometrics; robust iris image segmentation; iris image quality metrics; iris biometric indexing; biometric recognition; best periocular region identification; presentation attack resistant robust biometric ocular system; soft biometric classification; gender classification; near infrared iris images; age predictive biometrics; contact lens detection; software attacks; privacy protection; forensics; iris biometric template protection; privacy-preserving distance computation; IrisCodes; iris sensor identification; iris image matching; embedded systems; and mobile iris recognition.
  table of contents: Machine generated contents note: 1. Fundamentals in iris recognition -- 1.1. Introduction / Christoph Busch / Christian Rathgeb -- 1.2. Iris recognition processing chain / Christoph Busch / Christian Rathgeb -- 1.2.1. Image acquisition / Christoph Busch / Christian Rathgeb -- 1.2.2. Pre-processing / Christoph Busch / Christian Rathgeb -- 1.2.3. Feature extraction / Christoph Busch / Christian Rathgeb -- 1.2.4. Comparison / Christoph Busch / Christian Rathgeb -- 1.3. Status quo in research and industry / Christoph Busch / Christian Rathgeb -- 1.3.1. Databases, competitions and software / Christoph Busch / Christian Rathgeb -- 1.3.2. Standardization and deployments / Christoph Busch / Christian Rathgeb -- 1.4. Challenges in iris recognition / Christoph Busch / Christian Rathgeb -- 1.4.1. Visible wavelength and unconstrained conditions / Christoph Busch / Christian Rathgeb -- 1.4.2. Security and privacy protection / Christoph Busch / Christian Rathgeb -- 1.4.3. Cross-sensor and cross-spectral recognition / Christoph Busch / Christian Rathgeb -- 1.4.4. Soft biometrics and template ageing / Christoph Busch / Christian Rathgeb -- 1.4.5. Large-scale identification and iris biometric fusion / Christoph Busch / Christian Rathgeb -- 1.5. Summary / Christoph Busch / Christian Rathgeb -- References / Christoph Busch / Christian Rathgeb -- 2. overview of periocular biometrics / Christoph Busch / Christian Rathgeb -- 2.1. Acquisition of periocular images / Josef Bigun / Fernando Alonso-Fernandez -- 2.2. Detection of the periocular region / Josef Bigun / Fernando Alonso-Fernandez -- 2.3. Feature encoding and comparison / Josef Bigun / Fernando Alonso-Fernandez -- 2.4. Human performance evaluation / Josef Bigun / Fernando Alonso-Fernandez -- 2.5. Comparison of periocular with other modalities / Josef Bigun / Fernando Alonso-Fernandez -- 2.6. Other tasks using features from the periocular region / Josef Bigun / Fernando Alonso-Fernandez -- 2.7. Summary and future trends in periocula…
  table of contents: Raja -- 8.1. Introduction / Juan Tapia -- 8.2. Anatomy structure of the eye / Juan Tapia -- 8.3. Feature extraction / Juan Tapia -- 8.4. State of the art / Juan Tapia -- 8.5. Databases / Juan Tapia -- 8.5.1. BioSecure multimodal database / Juan Tapia -- 8.5.2. Gender from iris dataset (ND-GFI) / Juan Tapia -- 8.6. Feature selection / Juan Tapia -- 8.7. Research trends and challenges / Juan Tapia -- 8.7.1. Segmentation / Juan Tapia -- 8.7.2. Accuracy / Juan Tapia -- 8.7.3. Fragile bits / Juan Tapia -- 8.7.4. Sensors / Juan Tapia -- 8.7.5. Makeup / Juan Tapia -- 8.8. Concluding remarks / Juan Tapia -- Acknowledgments / Juan Tapia -- References / Juan Tapia -- 9. Periocular-based soft biometric classification / Juan Tapia -- 9.1. Introduction / Damon L. Woodard / Kalaivani Sundararajan / Nicole Tobias / Jamie Lyle -- 9.2. Approach / Damon L. Woodard / Jamie Lyle / Nicole Tobias / Kalaivani Sundararajan -- 9.2.1. Data / Nicole Tobias / Kalaivani Sundararajan / Damon L. Woodard / Jamie Lyle -- 9.2.2. Preprocessing / Damon L. Woodard / Jamie Lyle / Nicole Tobias / Kalaivani Sundararajan -- 9.2.3. Feature representations / Damon L. Woodard / Kalaivani Sundararajan / Nicole Tobias / Jamie Lyle -- 9.2.4. Classification / Damon L. Woodard / Kalaivani Sundararajan / Jamie Lyle / Nicole Tobias -- 9.3. Experiment results / Damon L. Woodard / Nicole Tobias / Kalaivani Sundararajan / Jamie Lyle -- 9.3.1. Experiment protocol / Damon L. Woodard / Kalaivani Sundararajan / Jamie Lyle / Nicole Tobias -- 9.3.2. Gender classification / Damon L. Woodard / Kalaivani Sundararajan / Nicole Tobias / Jamie Lyle -- 9.3.3. Ethnicity classification / Damon L. Woodard / Kalaivani Sundararajan / Jamie Lyle / Nicole Tobias.
  table of contents: Note continued: 9.3.4. Gender and ethnicity classification / Nicole Tobias / Kalaivani Sundararajan / Damon L. Woodard / Jamie Lyle -- 9.4. Summary / Nicole Tobias / Jamie Lyle / Damon L. Woodard / Kalaivani Sundararajan -- References / Damon L. Woodard / Kalaivani Sundararajan / Nicole Tobias / Jamie Lyle -- 10. Age predictive biometrics: predicting age from iris characteristics / Damon L.
  table of contents: Woodard / Kalaivani Sundararajan / Nicole Tobias / Jamie Lyle -- 10.1. Introduction / Marjory Da Costa-Abreu / Meryem Erbilek / Michael Fairhurst -- 10.2. Background discussion and related studies / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- 10.3. Predicting age in diverse scenarios / Michael Fairhurst / Marjory Da Costa-Abreu / Meryem Erbilek -- 10.4. Experimental infrastructure for iris-based predictive biometrics / Marjory Da Costa-Abreu / Meryem Erbilek / Michael Fairhurst -- 10.5. Experimental analysis of individual classification systems for iris-based predictive biometrics / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- 10.6. Experimental analysis of iris-based multiclassifier systems / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- 10.7. Experimental analysis of multiagent intelligent systems for iris-based predictive biometrics / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- 10.8. Discussion / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- 10.9. Experimental analysis of multimodal iris-based predictive systems / Michael Fairhurst / Marjory Da Costa-Abreu / Meryem Erbilek -- 10.10. Final remarks / Marjory Da Costa-Abreu / Michael Fairhurst / Meryem Erbilek -- References / Marjory Da Costa-Abreu / Meryem Erbilek / Michael Fairhurst -- 11. Presentation attack detection in iris recognition / Marjory Da Costa-Abreu / Meryem Erbilek / Michael Fairhurst -- 11.1. Introduction / Marta Gomez-Barrero / Javier Galbally -- 11.2. Presentation attacks in iris recognition / Marta Gomez-Barrero / Javier Galbally -- 11.3. Presentation attack detection in iris recognition / Marta Gomez-Barrero / Javier Galbally -- 11.3.1. Sensor-level approaches / Marta Gomez-Barrero / Javier Galbally -- 11.3.2. Feature-level approaches / Marta Gomez-Barrero / Javier Galbally -- 11.4. Evaluation of presentation attack detection methods / Marta Gomez-Barrero / Javier Galbally -- 11.5. Conclusion / Marta Gomez…
  table of contents: Debiasi / Andreas Uhl / Christof Kauba -- 16.2. Datasets / Luca Debiasi / Andreas Uhl / Christof Kauba -- 16.3. Experimental setup / Luca Debiasi / Andreas Uhl / Christof Kauba -- 16.4. Experimental results / Luca Debiasi / Andreas Uhl / Christof Kauba -- 16.5. Practical discussion / Luca Debiasi / Andreas Uhl / Christof Kauba -- 16.6. Conclusion / Luca Debiasi / Andreas Uhl / Christof Kauba -- References / Luca Debiasi / Andreas Uhl / Christof Kauba -- 17. Matching iris images against face images using a joint dictionary-based sparse representation scheme / Christof Kauba / Luca Debiasi / Andreas Uhl -- 17.1. Introduction / Arun Ross / Raghavender Jillela -- 17.2. Database / Arun Ross / Raghavender Jillela -- 17.2.1. Challenges / Arun Ross / Raghavender Jillela -- 17.3. Outline of experiments / Arun Ross / Raghavender Jillela -- 17.4. Iris recognition / Arun Ross / Raghavender Jillela -- 17.4.1. Open source algorithm / Arun Ross / Raghavender Jillela -- 17.4.2. Commercial algorithm / Arun Ross / Raghavender Jillela -- 17.5. Ocular recognition / Arun Ross / Raghavender Jillela -- 17.5.1. Baseline-local binary patterns / Raghavender Jillela / Arun Ross -- 17.5.2. Normalized gradient correlation / Arun Ross / Raghavender Jillela -- 17.6. Ocular matching using joint dictionary approach / Arun Ross / Raghavender Jillela.
  table of contents: Note continued: 17.6.1. Sparse representation framework / Arun Ross / Raghavender Jillela -- 17.6.2. Joint dictionary approach / Arun Ross / Raghavender Jillela -- 17.6.3. Dictionary learning and matching / Arun Ross / Raghavender Jillela -- 17.7. Computational details / Arun Ross / Raghavender Jillela -- 17.8. Score-level fusion / Arun Ross / Raghavender Jillela -- 17.9. Summary / Arun Ross / Raghavender Jillela -- References / Arun Ross / Raghavender Jillela -- 18. Iris biometrics for embedded systems / Arun Ross / Raghavender Jillela -- 18.1. Introduction to embedded systems / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.2. Design strategies for developing embedded systems / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.2.1. General architecture of an embedded system / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.2.2. Architecture alternatives / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.3. Biometric requirements for embedded systems / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.3.1. Functional requirements / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.3.2. Security requirements / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.4. Iris biometrics analysis for embedded systems / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.4.1. Data capture / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.4.2. Preprocessing / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.4.3. Feature extraction / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.4.4. Comparison / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.5. Existing implementations / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.5.1. Custom hardware-FPGA / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.5.2. Software implementations / Raul Sanchez-Reillo / Judith Liu-Jimene -- 18.6. Conclusions / Raul Sanchez-Reillo / Judith Liu-Jimene -- References / Raul Sanchez-Reillo / Judith Liu-Jimene -- 19. Mobile iris recognition / Raul Sanchez-Reillo / Judith Liu-Jimene -- 19.1. Background / Takashi Shinzaki / Akira Yonenaga -- 19.2.…
  note: edited by Christian Rathgeb and Christoph Busch.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references at the end of each chapters and index.
  subject:
    topic: Biometric identification
  related item:
    title info:
      title: Iris and periocular biometric recognition
    origin info:
      publisher: Stevenage, UNKNOWN : The Institution of Engineering and Technology, 2017
  related item:
    title info:
      title: IET security series ; 5
  related item:
    title info:
      title: IET book series on advances in biometrics
  identifier: 1785611690
  identifier: 9781785611698
  identifier: 9781523112319
  identifier: 152311231X
  identifier: 1785611682
  identifier: 9781785611681
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: IDEBK
    record creation date: 170922
    record change date: 20240717213016.0
    record identifier: kn-on1004552347
    language of cataloging:
      language term: eng