Advances in Biometrics for Secure Human Authentication and Recognition
This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional biometric techniques as well as novel systems developed over the past...
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| Hauptverfasser: | , , |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
CRC Press
2013
Taylor & Francis Group |
| Ausgabe: | 1 |
| Schlagworte: | |
| ISBN: | 9781466582439, 146658243X, 1466582421, 9781466582422 |
| Online-Zugang: | Volltext |
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| Abstract | This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional biometric techniques as well as novel systems developed over the past few years. |
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| AbstractList | This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional biometric techniques as well as novel systems developed over the past few years. Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition.Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems.Containing the work of some of the world’s most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields. Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. This book showcases some of the latest technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Containing the work of some of the world's most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields. Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognitionshowcasessome of the latest technologies and algorithms being used for human authentication and recognition.Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems.Containing the work of some of the world's most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields. This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional biometric techniques as well as novel systems developed over the past few years. It includes coverage of new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. The text includes model question papers, mathematical notations, and exercises to reinforce understanding. |
| Author | Gupta, Phalguni Kisku, Dakshina Ranjan Sing, Jamuna Kanta |
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| Copyright | 2014 by Taylor & Francis Group, LLC |
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| DOI | 10.1201/b16247 |
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| Editor | Gupta, Phalguni Kisku, Dakshina Ranjan Sing, Jamuna Kanta |
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| Keywords | Data Protection Inspector Euclidean Distance Classifier Contourlet Transform Original ECG Signal Biometric Authentication System Data Set Spatiotemporal Gait Multimodal Biometrics Roc Curve Spatiotemporal Gait Features Multimodal Biometric Systems Curvelet Transform Biometric Feature Biometric Technologies Biometric Template Gait Features ROI Extraction False Accept Rate Periocular Region False Reject Rate KFDA Feature Subset Biometric System Biometric Traits Sclera Region |
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| Notes | Available also in a print ed. Mode of access: Internet via World Wide Web. Title from title screen. |
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| PageCount | 340 |
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| Snippet | This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions,... Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in... Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. This book... |
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| SubjectTerms | Biometric identification Data processing Computer science |
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| TableOfContents | Front Cover -- Contents -- List of Figures -- List of Tables -- Preface -- Contributors -- Chapter 1: Security and Reliability Assessment for Biometric Systems -- Chapter 2: Review of Human Recognition Based on Retinal Images -- Chapter 3: Visual Speech as Behavioral Biometric -- Chapter 4: Human Gait Signature for Biometric Authentication -- Chapter 5: Hand-Based Biometric for Personal Identification Using Correlation Filter Classifier -- Chapter 6: On Deciding the Dynamic Periocular Boundary for Human Recognition -- Chapter 7: Retention of Electrocardiogram Features Insignificantly Devalorized as an Effect of Watermarking for a Multimodal Biometric Authentication System -- Chapter 8: Facial Feature Point Extraction for Object Identification Using Discrete Contourlet Transform and Principal Component Analysis -- Chapter 9: Legal Aspects and Ethical Issues in the Use of Biometrics: A Study from Norway -- Chapter 10: Biometric Identification: Device Specification and Actual Performance Considered for Operations of the Unique Identity Authority of India -- Back Cover |
| Title | Advances in Biometrics for Secure Human Authentication and Recognition |
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