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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.
"Iris Biometrics: From Segmentation to Template Security" provides
critical analysis, challenges and solutions on recent iris
biometric research topics, including image segmentation, image
compression, watermarking, advanced comparators, template
protection and more. Open source software is also provided on a
dedicated website which includes feature extraction, segmentation
and matching schemes applied in this book to foster scientific
exchange. Current state-of-the-art approaches accompanied by
comprehensive experimental evaluations are presented as well. This
book has been designed as a secondary text book or reference for
researchers and advanced-level students in computer science and
electrical engineering. Professionals working in this related field
will also find this book useful as a reference.
This open access book provides the first comprehensive collection
of studies dealing with the hot topic of digital face manipulation
such as DeepFakes, Face Morphing, or Reenactment. It combines the
research fields of biometrics and media forensics including
contributions from academia and industry. Appealing to a broad
readership, introductory chapters provide a comprehensive overview
of the topic, which address readers wishing to gain a brief
overview of the state-of-the-art. Subsequent chapters, which delve
deeper into various research challenges, are oriented towards
advanced readers. Moreover, the book provides a good starting point
for young researchers as well as a reference guide pointing at
further literature. Hence, the primary readership is academic
institutions and industry currently involved in digital face
manipulation and detection. The book could easily be used as a
recommended text for courses in image processing, machine learning,
media forensics, biometrics, and the general security area.
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