Handbook of Iris Recognition

Mark J. Burge

ISBN 10: 1447173899 / ISBN 13: 9781447173892

Verlag: Springer London, Springer London, 2018

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.

Bestandsnummer des Verkäufers 9781447173892

Bibliografische Details

• Titel: Handbook of Iris Recognition
• Verlag: Springer London, Springer London
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 1447173899
• ISBN-13: 9781447173892
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.

Über die Autorin bzw. den Autor

Dr. Kevin W. Bowyer is the Schubmehl-Prein Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame, IN, USA.

Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Springer textbook Digital Image Processing – An Algorithmic Introduction Using Java.