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020			_a9781447167846
040			_aES-MaUEC
050		4	_aTK7882.B56 _bH363 2016 EB
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090			_aTK7882.B56 _bH363 2016
245	1	0	_aHandbook of Iris Recognition _cedited by Kevin W Bowyer, Mark J Burge
250			_a2nd ed.
260			_aLondon _bSpringer London _c2016
300			_a1 recurso en línea (XXI, 568 p.) _b279 ilustraciones, 157 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
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 -- Optics of Iris Imaging Systems -- Standard Iris Storage Formats -- Iris Quality Metrics for Adaptive Authentication -- Quality and Demographic Investigation of ICE 2006 -- Methods for Iris Segmentation -- Iris Recognition with Taylor Expansion Features -- Application of Correlation Filters for Iris Recognition -- Introduction to the IrisCode Theory -- Robust and Secure Iris Recognition -- Multispectral Iris Fusion and Cross-Spectrum Matching -- Iris Segmentation for Challenging Periocular Images -- Periocular Recognition from Low Quality Iris Images -- Unconstrained Iris Recognition in Visible Wavelengths -- Design Decisions for an Iris Recognition SDK -- Fusion of Face and Iris Biometrics -- A Theoretical Model for Describing Iris Dynamics -- Iris Liveness Detection by Modeling Dynamic Pupil Features -- Iris Image Reconstruction from Binary Templates -- Off-Angle Iris Correction Methods -- Ophthalmic Disorder Menagerie and Iris Recognition -- Template Aging in Iris Biometrics.
520			_aThe 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. Topics and features: With a Foreword by the zfather of iris recognition,y Professor John Daugman of Cambridge University Provides authoritative insights from an international selection of preeminent researchers with experience in sectors of 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 This essential text/reference is an ideal 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 viewpoints and ideas. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family 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 Noblis Corporation, Falls Church, VA, USA, and Visiting Professor at the US Naval Academy, Annapolis, MD, USA. His other publications include the Springer textbook Digital Image Processing � An Algorithmic Introduction Using Java.
650		7	_aIdentificación biométrica _2embne _9687509
700	1		_aBowyer, Kevin W. _eeditor literario _996530 _0Local
700	1		_aBurge, Mark J. _eeditor literario _996517 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
830		0	_aAdvances in Computer Vision and Pattern Recognition _x2191-6586 _9134066 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4471-6784-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9781447167846
907			_a.b1293673x _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aTK7882.B56 H363 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11612472 _z30-06-17
988	0	0	_aEBOOK, EBSPRINGER
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