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Format: 1 Online-Ressource (xviii, 533 Seiten)

ISBN: 9783030277314

Series Statement: Advances in computer vision and pattern recognition

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27730-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27732-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27733-8

Language: English

Subjects: Biology

Keywords: Informatik ; Biometrie ; Benutzeroberfläche ; Aufsatzsammlung

DOI: 10.1007/978-3-030-27731-4

URL: Volltext  (kostenfrei)

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UID:

Format: 1 Online-Ressource (533 p.)

ISBN: 9783030277314

Series Statement: Advances in Computer Vision and Pattern Recognition

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers

Note: English

Language: English

URL: kostenfrei

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Format: 1 online resource (xviii, 533 pages) : , illustrations (some color)

ISBN: 9783030277314 , 3030277313

Series Statement: Advances in computer vision and pattern recognition,

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Note: Part I: Introduction -- 1. State of the Art in Vascular Biometrics.- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device.- 3. Open Vein -- An Open Source Modular Multi-Purpose Finger-vein Scanner Design.- 4. An Available Open Source Vein Recognition Framework. Part II: Hand and Finger Vein Biometrcis -- 5. Use Case of Palm Vein Authentication.- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition.- 8. Improved CNN-Segmentation based Finger-VeinRecognition Using Automatically Generated and Fused Training Labels.- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations.- 10. Different Views on the Finger -- Score Level Fusion in Multi-Perspective vein Recognition. Part III: Sclera and Retina Bioemtrics -- 11. Retinal Vascular Characteristics. 12. Vascular Biometric Graph Comparison: Theory and performance.- 13. Deep Sclera Segmentation and Recognition. Part IV: Security and Privacy in Vascular Biometrics -- 14. Presentation Attack Detection for Finger Recognition.- 15. Fingervein Templates.- 16. Cancellable Biometrics for Finger Vein Recognition -- Application in the Feature Domain.- 17. Towards Measuring the Amount of Discriminatory Information in Fingervein Biometric Characteristics Using a Relative Entropy Estimator.

Language: English

Keywords: Handbook ; handbooks. ; Handbooks and manuals ; Handbooks and manuals. ; Guides et manuels.

DOI: 10.1007/978-3-030-27731-4

URL: ProQuest Ebook Central

URL: SpringerLink

UID:

Format: 1 online resource (535 pages)

Edition: 1st ed.

ISBN: 9783030277314

Series Statement: Advances in Computer Vision and Pattern Recognition Series

Note: Intro -- Foreword -- Preface -- Objectives -- Audience -- Organisation -- Part I: Introduction -- Part II: Hand and Finger Vein Biometrics -- Part III: Sclera and Retina Biometrics -- Part IV: Security and Privacy in Vascular Biometrics -- Acknowledgements -- Contents -- Part I Introduction -- 1 State of the Art in Vascular Biometrics -- 1.1 Introduction -- 1.1.1 Imaging Hand-Based Vascular Biometric Traits -- 1.1.2 Imaging Eye-Based Vascular Biometric Traits -- 1.1.3 Pros and Cons of Vascular Biometric Traits -- 1.2 Commercial Sensors and Systems -- 1.2.1 Hand-Based Vascular Traits -- 1.2.2 Eye-Based Vascular Traits -- 1.3 Algorithms in the Recognition Toolchain -- 1.3.1 Finger Vein Recognition Toolchain -- 1.3.2 Palm Vein Recognition Toolchain -- 1.3.3 (Dorsal) Hand Vein Recognition Toolchain -- 1.3.4 Wrist Vein Recognition Toolchain -- 1.3.5 Retina Recognition Toolchain -- 1.3.6 Sclera Recognition Toolchain -- 1.4 Datasets, Competitions and Open-Source Software -- 1.4.1 Hand-Based Vascular Traits -- 1.4.2 Eye-Based Vascular Traits -- 1.5 Template Protection -- 1.5.1 Hand-Based Vascular Traits -- 1.5.2 Eye-Based Vascular Traits -- 1.6 Presentation Attacks and Detection, and Sample Quality -- 1.6.1 Presentation Attack Detection -- 1.6.2 Biometric Sample Quality-Hand-Based Vascular Traits -- 1.6.3 Biometric Sample Quality-Eye-Based Vascular Traits -- 1.7 Mobile and On-the-Move Acquisition -- 1.7.1 Hand-Based Vascular Traits -- 1.7.2 Eye-Based Vascular Traits -- 1.8 Disease Impact on Recognition and (Template) Privacy -- 1.9 Conclusion and Outlook -- References -- 2 A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device -- 2.1 Introduction -- 2.2 Overview of Finger Vein Acquisition Systems -- 2.2.1 Types of Sensors -- 2.2.2 Commercial Sensors -- 2.2.3 Sensors Developed by Academics. , 2.3 University of Twente Finger Vein Capture Device -- 2.4 Description of Dataset -- 2.5 Results -- 2.5.1 Performance Analysis -- 2.6 Next-Generation Finger Vein Scanner -- 2.6.1 Overview -- 2.6.2 Illumination Control -- 2.6.3 3D Reconstruction -- 2.7 Conclusions -- 2.8 Future Work -- References -- 3 OpenVein-An Open-Source Modular Multipurpose Finger Vein Scanner Design -- 3.1 Introduction -- 3.2 Finger Vein Scanners -- 3.2.1 Light Source Positioning -- 3.2.2 Two Main Perspectives of the Finger-Dorsal and Palmar -- 3.2.3 Commercial Finger Vein Scanners -- 3.2.4 Finger Vein Prototype Scanners and Datasets in Research -- 3.3 PLUS OpenVein Finger Vein Scanner -- 3.3.1 Advantages and Differences to Existing Designs -- 3.3.2 Image Sensor, Lens and Additional Filter -- 3.3.3 Light Transmission Illuminator -- 3.3.4 Reflected Light Illuminator -- 3.3.5 Illuminator Brightness Control Board -- 3.3.6 Finger Placement Unit -- 3.3.7 Housing Parts -- 3.3.8 Capturing Software -- 3.4 PLUSVein-FV3 Finger Vein Dataset -- 3.5 Conclusion -- 3.5.1 Future Work -- References -- 4 An Available Open-Source Vein Recognition Framework -- 4.1 Introduction -- 4.2 Related Work -- 4.3 PLUS OpenVein Toolkit -- 4.3.1 Directory Structure -- 4.3.2 Settings Files -- 4.3.3 External Dependencies -- 4.4 Included Vein Recognition Schemes -- 4.4.1 Input File Handling/Supported Datasets -- 4.4.2 Preprocessing -- 4.4.3 Feature Extraction -- 4.4.4 Comparison -- 4.4.5 Comparison/Evaluation Protocols -- 4.4.6 Performance Evaluation Tools -- 4.4.7 Feature and Score-Level Fusion -- 4.5 Experimental Example -- 4.5.1 Dataset and Experimental Set-Up -- 4.5.2 Experimental Results -- 4.6 Conclusion and Future Work -- References -- Part II Hand and Finger Vein Biometrics -- 5 Use Case of Palm Vein Authentication -- 5.1 Introduction -- 5.2 Palm Vein Sensing -- 5.3 Sensor Products with Reflection Method. , 5.4 Matching Performance -- 5.5 Use Cases of Palm Vein Authentication -- 5.5.1 Usage Situation -- 5.5.2 Login Authentication -- 5.5.3 Physical Access Control Systems -- 5.5.4 Payment Systems -- 5.5.5 Financial Services -- 5.5.6 Health Care -- 5.5.7 Airport Security -- 5.5.8 Government and Municipal -- 5.6 Conclusion -- References -- 6 Evolution of Finger Vein Biometric Devices in Terms of Usability -- 6.1 Introduction -- 6.1.1 Early Implementation -- 6.1.2 Commercialisation -- 6.1.3 Evolutions of the Finger Vein Biometric Devices -- 6.2 Compliance with Regulations -- 6.2.1 Use Case/Background -- 6.2.2 Usability Requirement Details -- 6.2.3 Challenges -- 6.2.4 Implementation -- 6.3 Compactness -- 6.3.1 Use Case/Background -- 6.3.2 Usability Requirement Details -- 6.3.3 Challenges -- 6.3.4 Implementation -- 6.4 Portability and Mobility -- 6.4.1 Use Case/Background -- 6.4.2 Usability Requirement Details -- 6.4.3 Challenges -- 6.4.4 Implementation -- 6.5 Universal Design -- 6.5.1 Use Case/Background -- 6.5.2 Usability Requirement Details -- 6.5.3 Challenges -- 6.5.4 Implementation -- 6.6 Durability and Anti-vandalism -- 6.6.1 Use Case/Background -- 6.6.2 Usability Requirement Details -- 6.6.3 Challenges -- 6.6.4 Implementation -- 6.7 High Throughput -- 6.7.1 Use Case/Background -- 6.7.2 Usability Requirement Details -- 6.7.3 Challenges -- 6.7.4 Implementation -- 6.8 Universality/Availability -- 6.8.1 Use Case/Background -- 6.8.2 Usability Requirement Details -- 6.8.3 Challenges -- 6.8.4 Implementation -- 6.9 Summary -- References -- 7 Towards Understanding Acquisition Conditions Influencing Finger Vein Recognition -- 7.1 Introduction -- 7.2 Varying Acquisition Conditions-A Challenging Aspect in Research and Practical Applications -- 7.3 Deployed Scanner Devices -- 7.4 Finger Vein Acquisition Conditions Dataset. , 7.5 Finger Vein Recognition Toolchain and Evaluation Protocol -- 7.6 Experimental Results Analysis -- 7.7 Conclusion -- References -- 8 Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels -- 8.1 Introduction -- 8.2 Related Works -- 8.2.1 Classical Finger Vein Recognition Techniques -- 8.2.2 CNN-Based Finger Vein Recognition -- 8.2.3 Automated Generation of CNN Training Data -- 8.3 Finger Vein Pattern Extraction Using CNNs -- 8.4 Training Label Generation and Setups -- 8.5 Experimental Framework -- 8.6 Results -- 8.7 Discussion -- 8.8 Conclusion -- References -- 9 Efficient Identification in Large-Scale Vein Recognition Systems Using Spectral Minutiae Representations -- 9.1 Introduction -- 9.1.1 Organisation -- 9.1.2 Workload Reduction in Vein Identification Systems -- 9.1.3 Concept Focus -- 9.2 Workload Reduction Concepts -- 9.2.1 Efficient Data Representation -- 9.2.2 Serial Combination of SMR -- 9.2.3 Indexing Methods -- 9.2.4 Hardware Acceleration -- 9.2.5 Fusion of Concepts -- 9.3 Experiments -- 9.3.1 Experimental Setup -- 9.3.2 Performance Evaluation -- 9.3.3 Experiments Overview -- 9.4 Results -- 9.4.1 Spectral Minutiae Representation -- 9.4.2 Binary Spectral Minutiae Representation -- 9.4.3 Serial Combination of SMR -- 9.4.4 Indexing Methods -- 9.4.5 Fusion of Concepts -- 9.4.6 Discussion -- 9.5 Summary -- References -- 10 Different Views on the Finger--- Score-Level Fusion in Multi-Perspective Finger Vein Recognition -- 10.1 Introduction -- 10.2 Multi-perspective Finger Vein Biometrics -- 10.3 Multi-perspective Finger Vein Capture Device -- 10.4 Multi-perspective Finger Vein Dataset -- 10.5 Biometric Fusion -- 10.5.1 Fusion in Finger Vein Recognition -- 10.6 Experimental Analysis -- 10.6.1 Finger Vein Dataset -- 10.6.2 Finger Vein Recognition Tool chain. , 10.6.3 Score-Level Fusion Strategy and Toolkit -- 10.6.4 Evaluation Protocol -- 10.6.5 Single Perspective Performance Results -- 10.6.6 Multi-perspective Fusion Results -- 10.6.7 Multi-algorithm Fusion Results -- 10.6.8 Combined Multi-perspective and Multi-algorithm Fusion -- 10.6.9 Results Discussion -- 10.7 Conclusion and Future Work -- References -- Part III Sclera and Retina Biometrics -- 11 Retinal Vascular Characteristics -- 11.1 Introduction -- 11.1.1 Anatomy of the Retina -- 11.1.2 History of Retinal Recognition -- 11.1.3 Medical and Biometric Examination and Acquisition Tools -- 11.1.4 Recognition Schemes -- 11.1.5 Achieved Results Using Our Scheme -- 11.1.6 Limitations -- 11.2 Eye Diseases -- 11.2.1 Automatic Detection of Druses and Exudates -- 11.2.2 Testing -- 11.3 Biometric Information Amounts in the Retina -- 11.3.1 Theoretical Determination of Biometric Information in Retina -- 11.3.2 Used Databases and Applications -- 11.3.3 Results -- 11.4 Synthetic Retinal Images -- 11.4.1 Vascular Bed Layer -- 11.4.2 Layers -- 11.4.3 Background Layers -- 11.4.4 Generating a Vascular Bed -- 11.4.5 Testing -- 11.4.6 Generating Synthetic Images Via Neural Network -- References -- 12 Vascular Biometric Graph Comparison: Theory and Performance -- 12.1 Introduction -- 12.2 The Biometric Graph -- 12.2.1 The Biometric Graph -- 12.2.2 Biometric Graph Extraction -- 12.3 The Biometric Graph Comparison Algorithm -- 12.3.1 BGR-Biometric Graph Registration -- 12.3.2 BGC-Biometric Graph Comparison -- 12.4 Results -- 12.4.1 Vascular Databases -- 12.4.2 Comparison of Graph Topology Across Databases -- 12.4.3 Comparison of MCS Topology in BGC -- 12.4.4 Comparison of BGC Performance Across Databases -- 12.5 Anchors for a BGC Approach to Template Protection -- 12.5.1 Dissimilarity Vector Templates for Biometric Graphs -- 12.5.2 Anchors for Registration. , 12.5.3 The Search for Anchors.

Additional Edition: Print version: Uhl, Andreas Handbook of Vascular Biometrics Cham : Springer International Publishing AG,c2019 ISBN 9783030277307

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.)

Edition: 1st edition 2020.

ISBN: 3-030-27731-3

Series Statement: Advances in Computer Vision and Pattern Recognition,

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Note: 1. State of the Art in Vascular Biometrics -- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device -- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design -- 4. An Available Open Source Vein Recognition Framework -- 5. Use Case of Palm Vein Authentication -- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition -- 8. Improved CNN-Segmentation based Finger-Vein Recognition Using Automatically Generated and Fused Training Labels -- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations -- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition. , English

Additional Edition: ISBN 3-030-27730-5

Language: English

DOI: 10.1007/978-3-030-27731-4

UID:

Format: 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.)

Edition: 1st edition 2020.

ISBN: 3-030-27731-3

Series Statement: Advances in Computer Vision and Pattern Recognition,

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Note: 1. State of the Art in Vascular Biometrics -- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device -- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design -- 4. An Available Open Source Vein Recognition Framework -- 5. Use Case of Palm Vein Authentication -- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition -- 8. Improved CNN-Segmentation based Finger-Vein Recognition Using Automatically Generated and Fused Training Labels -- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations -- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition. , English

Additional Edition: ISBN 3-030-27730-5

Language: English

DOI: 10.1007/978-3-030-27731-4

UID:

Format: 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.)

Edition: 1st edition 2020.

ISBN: 3-030-27731-3

Series Statement: Advances in Computer Vision and Pattern Recognition,

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Note: 1. State of the Art in Vascular Biometrics -- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device -- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design -- 4. An Available Open Source Vein Recognition Framework -- 5. Use Case of Palm Vein Authentication -- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition -- 8. Improved CNN-Segmentation based Finger-Vein Recognition Using Automatically Generated and Fused Training Labels -- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations -- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition. , English

Additional Edition: ISBN 3-030-27730-5

Language: English

DOI: 10.1007/978-3-030-27731-4

UID:

Format: XVIII, 533 p. 197 illus., 149 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9783030277314

Series Statement: Advances in Computer Vision and Pattern Recognition,

Content: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Note: 1. State of the Art in Vascular Biometrics -- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device -- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design -- 4. An Available Open Source Vein Recognition Framework -- 5. Use Case of Palm Vein Authentication -- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition -- 8. Improved CNN-Segmentation based Finger-Vein Recognition Using Automatically Generated and Fused Training Labels -- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations -- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030277307

Additional Edition: Printed edition: ISBN 9783030277321

Additional Edition: Printed edition: ISBN 9783030277338

Language: English

DOI: 10.1007/978-3-030-27731-4

URL: https://doi.org/10.1007/978-3-030-27731-4

UID:

Format: 1 Online-Ressource (xviii, 533 Seiten).

ISBN: 978-3-030-27731-4

Series Statement: Advances in computer vision and pattern recognition

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27730-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27732-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27733-8

Language: English

Subjects: Biology

Keywords: Informatik ; Biometrie ; Benutzeroberfläche ; Aufsatzsammlung

DOI: 10.1007/978-3-030-27731-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

UID:

Format: 1 Online-Ressource (xviii, 533 Seiten).

ISBN: 978-3-030-27731-4

Series Statement: Advances in computer vision and pattern recognition

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27730-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27732-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-27733-8

Language: English

Subjects: Biology

Keywords: Informatik ; Biometrie ; Benutzeroberfläche ; Aufsatzsammlung

DOI: 10.1007/978-3-030-27731-4

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)