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000742120 020__ $$a9783319224855$$q(electronic book)
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000742120 020__ $$z9783319224848
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000742120 0247_ $$a10.1007/978-3-319-22485-5$$2doi
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000742120 050_4 $$aTK7882.B56$$bZ43 2016eb
000742120 08204 $$a006.4$$223
000742120 1001_ $$aZhang, David,$$d1949-$$eauthor.
000742120 24510 $$aMultispectral biometrics :$$bsystems and applications /$$cDavid Zhang, Zhenhua Guo, Yazhuo Gong.
000742120 264_1 $$aCham :$$bSpringer,$$c[2016]
000742120 300__ $$a1 online resource (xi, 229 pages)
000742120 336__ $$atext$$btxt$$2rdacontent
000742120 337__ $$acomputer$$bc$$2rdamedia
000742120 338__ $$aonline resource$$bcr$$2rdacarrier
000742120 504__ $$aIncludes bibliographical references and index.
000742120 5050_ $$aPreface; Contents; Part I Background of Multispectral Biometrics ; 1 Overview; Abstract; 1.1 The Need for Biometrics; 1.1.1 Biometrics System Architecture; 1.1.2 Operation Mode of a Biometrics System; 1.1.3 Evaluation of Biometrics and Biometrics System; 1.2 Different Biometrics Technologies; 1.2.1 Voice Recognition Technology; 1.2.2 Signature Recognition Technology; 1.2.3 Iris Recognition Technology; 1.2.4 Face Recognition Technology; 1.2.5 Fingerprint Recognition Technology; 1.2.6 Palmprint Recognition Technology; 1.2.7 Hand Geometry Recognition Technology
000742120 5058_ $$a1.2.8 Palm Vein Recognition Technology1.3 A New Trend: Multispectral Biometrics; 1.4 Arrangement of This Book; References; 2 Multispectral Biometrics Systems; Abstract; 2.1 Introduction; 2.2 Different Biometrics Technologies; 2.2.1 Multispectral Iris; 2.2.2 Multispectral Fingerprint; 2.2.3 Multispectral Face; 2.2.4 Multispectral Palmprint; 2.2.5 Multispectral Dorsal Hand; 2.3 Security Applications; 2.4 Summary; References; Part II Multispectral Iris Recognition ; 3 Multispectral Iris Acquisition System; Abstract; 3.1 System Requirements; 3.2 Parameter Selection; 3.2.1 Capture Unit
000742120 5058_ $$a3.2.2 Illumination Unit3.2.3 Interaction Unit; 3.2.4 Control Unit; 3.3 System Performance Evaluation; 3.3.1 Proposed Iris Image Capture Device; 3.3.2 Iris Database; 3.3.3 Image Fusion and Recognition; 3.4 Summary; References; 4 Feature Band Selection for Multispectral Iris Recognition; Abstract; 4.1 Introduction; 4.2 Data Collection; 4.2.1 Overall Design; 4.2.2 Checkerboard Stimulus; 4.2.3 Data Collection; 4.3 Feature Band Selection; 4.3.1 Data Organization of Dissimilarity Matrix; 4.3.2 Improved (2D)2PCA; 4.3.3 Low-Quality Evaluation
000742120 5058_ $$a4.3.4 Agglomerative Clustering Based on the Global Principle4.4 Experimental Results and Analysis; 4.5 Summary; References; 5 The Prototype Design of Multispectral Iris Recognition System; Abstract; 5.1 Introduction; 5.2 System Framework; 5.2.1 Overall Design; 5.2.2 Illumination Unit; 5.2.3 Interaction Unit; 5.2.4 Control Unit; 5.3 Multispectral Image Fusion; 5.3.1 Proposed Iris Image Capture Device; 5.3.2 Iris Database; 5.3.3 Score Fusion and Recognition; 5.3.4 Experimental Results and Analysis; 5.4 Summary; References; Part III Multispectral Palmprint Recognition
000742120 5058_ $$a6 An Online System of Multispectral Palmprint VerificationAbstract; 6.1 Introduction; 6.2 The Online Multispectral Palmprint System Design; 6.3 Multispectral Palmprint Image Analysis; 6.3.1 Feature Extraction and Matching for Each Band; 6.3.2 Inter-spectral Correlation Analysis; 6.3.3 Score-Level Fusion Scheme; 6.4 Experimental Results; 6.4.1 Multispectral Palmprint Database; 6.4.2 Palmprint Verification on Each Band; 6.4.3 Palmprint Verification by Fusion; 6.4.4 Anti-spoofing Test; 6.4.5 Speed; 6.5 Summary; References; 7 Empirical Study of Light Source Selection for Palmprint Recognition
000742120 506__ $$aAccess limited to authorized users.
000742120 520__ $$aDescribing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
000742120 588__ $$aVendor-supplied metadata.
000742120 650_0 $$aBiometric identification.
000742120 650_0 $$aMultispectral imaging.
000742120 7001_ $$aGuo, Zhenhua,$$eauthor.
000742120 7001_ $$aGong, Yazhuo,$$eauthor.
000742120 77608 $$iPrint version:$$z3319224840$$z9783319224848$$w(OCoLC)913557201
000742120 85280 $$bebk$$hSpringerLink
000742120 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-22485-5$$zOnline Access$$91397441.1
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