| Description |
1 online resource (xi, 229 pages) |
| Contents |
Preface; 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 |
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1.2.8 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 |
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3.2.2 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 |
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4.3.4 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 |
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6 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 |
| Summary |
Describing 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Vendor-supplied metadata |
| Subject |
Biometric identification.
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Multispectral imaging.
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multispectral imaging.
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Pattern recognition.
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Biomedical engineering.
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Imaging systems & technology.
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COMPUTERS -- General.
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Biometric identification
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Multispectral imaging
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| Form |
Electronic book
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| Author |
Guo, Zhenhua, author
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Gong, Yazhuo, author
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| ISBN |
9783319224855 |
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3319224859 |
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