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020 _a9781447144021
_9978-1-4471-4402-1
024 7 _a10.1007/978-1-4471-4402-1
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
245 1 0 _aHandbook of Iris Recognition
_h[electronic resource] /
_cedited by Mark J. Burge, Kevin W. Bowyer.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXVI, 407 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aIntroduction 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.
520 _aMore than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old. The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors' own work, and exploiting their broad overview of the field, 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 comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas. Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA.
650 0 _aComputer science.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
700 1 _aBurge, Mark J.
_eeditor.
700 1 _aBowyer, Kevin W.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447144014
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4402-1
912 _aZDB-2-SCS
942 _cEBK
999 _c57510
_d57510