Iris and periocular biometric recognition

Summary: 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.

Record details

ISBN: 9781785611681
ISBN: 1785611682
ISBN: 152311231X
ISBN: 9781523112319
ISBN: 9781785611698
ISBN: 1785611690
Physical Description: 1 online resource (497 pages).
remote
Publisher: Stevenage, UNKNOWN : The Institution of Engineering and Technology, 2017.

Content descriptions

General Note:	Multi-User. CatMonthString:january.19
Bibliography, etc. Note:	Includes bibliographical references at the end of each chapters and index.
Formatted Contents Note:	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. Mobile iris authentication / Takashi Shinzaki / Akira Yonenaga -- 19.3. Technologies for the future / Takashi Shinzaki / Akira Yonenaga -- 19.4. Summary / Takashi Shinzaki / Akira Yonenaga -- References / Takashi Shinzaki / Akira Yonenaga -- 20. Future trends in iris recognition: an industry perspective / Takashi Shinzaki / Akira Yonenaga -- 20.1. Customer requirements / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.1.1. Robustness / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.1.2. Performance / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.1.3. Usability / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.1.4. Choosing a modality / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.2. Development process / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.2.1. Bias and variability / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.2.2. Parameter optimisation / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.2.3. Evaluation and tools / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.3. Future trends and challenges / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.3.1. Sensor-related trends / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.3.2. Presentation attack detection / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.3.3. Deep learning / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.3.4. Standards / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- 20.4. Summary / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- Acknowledgement / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim -- References / Daniel Hartung / Gunther Mull / Sven Utcke / Ji-Young Lim.
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Source of Description Note:	Print version record.