LEADER 04470nam 2200601Ia 450 001 9910437598803321 005 20200520144314.0 010 $a1-299-19706-X 010 $a1-4471-4402-3 024 7 $a10.1007/978-1-4471-4402-1 035 $a(CKB)2670000000326458 035 $a(EBL)1030421 035 $a(OCoLC)827474243 035 $a(SSID)ssj0000879014 035 $a(PQKBManifestationID)11476044 035 $a(PQKBTitleCode)TC0000879014 035 $a(PQKBWorkID)10850361 035 $a(PQKB)11211790 035 $a(DE-He213)978-1-4471-4402-1 035 $a(MiAaPQ)EBC1030421 035 $a(PPN)168293382 035 $a(EXLCZ)992670000000326458 100 $a20120914d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHandbook of iris recognition $eadvances in computer vision and pattern recognition /$fMark J. Burge 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2012 215 $a1 online resource (415 p.) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 300 $aDescription based upon print version of record. 311 $a1-4471-6061-4 311 $a1-4471-4401-5 320 $aIncludes bibliographical references and index. 327 $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. 330 $aMore than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old. The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors? own work, and exploiting their broad overview of the field, this authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: With a Foreword by the ?father of iris recognition,? Professor John Daugman of Cambridge University Presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts Provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area Surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching) Introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging This comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas. Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 606 $aPattern recognition systems 606 $aVisual perception 615 0$aPattern recognition systems. 615 0$aVisual perception. 676 $a006.4 700 $aBurge$b Mark$0732101 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437598803321 996 $aHandbook of iris recognition$94201561 997 $aUNINA