Handbook of Iris Recognition
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.
| ISBN: | 9781447173892 |
|---|---|
| Auflage: | 2 |
| Sprache: | Englisch |
| Seitenzahl: | 568 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Bowyer, Kevin W. Burge, Mark J. |
| Verlag: | Springer London |
| Veröffentlicht: | 07.06.2018 |
| Schlagworte: | Biometrics Computer Vision Image Processing Iris Recognition Pattern Recognition |
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 .