Handbook Of Iris Recognition (advances In Computer Vision And Pattern Recognition)
by Mark J. Burge /
2016 / English / PDF
28 MB Download
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.
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.