Buch, Englisch, 407 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Buch, Englisch, 407 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 639 g
Reihe: Advances in Computer Vision and Pattern Recognition
ISBN: 978-1-4471-6061-8
Verlag: Springer
This authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: with a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University; presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts; provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area; surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching); introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging. This book is an essential resource for anyone wishing to improve their understanding of iris recognition technology.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction to the Handbook of Iris Recognition.- A Survey of Iris Biometrics Research: 2008-2010.- Standard Iris Storage Formats.- Iris Quality Metrics for Adaptive Authentication.- Quality and Demographic Investigation of ICE 2006.- Iris Recognition with Taylor Expansion Features.- A Theoretical Model For Describing Iris Dynamics.- Iris Recognition in the Visible Wavelength.- Multispectral Iris Fusion and Cross-spectrum Matching.- Robust and Secure Iris Recognition.- Template Aging in Iris Biometrics.- Fusion of Face and Iris Biometrics.- Methods for Iris Segmentation.- Introduction to the IrisCode Theory.- Application of Correlation Filters for Iris Recognition.- Reverse Engineering the Daugman Feature Encoding Scheme.- Optics of Iris Imaging Systems.
