| Description |
1 online resource (xiii, 335 pages) |
| Contents |
Preface; Contents; Chapter 1: Overview; 1.1 Why Biometrics; 1.2 History of Biometrics; 1.3 Biometrics Systems; 1.4 Recent Biometrics Development; 1.4.1 Multi-biometrics; 1.4.2 3D Biometrics; 1.4.3 Multispectral Biometrics; 1.5 Arrangement of This Book; References; Part I: High Resolution Fingerprint Recognition; Chapter 2: High Resolution Partial Fingerprint Alignment; 2.1 Introduction; 2.1.1 High Resolution Partial Fingerprint; 2.1.2 Fingerprint Alignment; 2.1.3 Partial Fingerprint Alignment Based on Pores; 2.2 Feature Extraction; 2.2.1 Ridge and Valley Extraction; 2.2.2 Pore Extraction |
|
2.2.3 Pore-Valley Descriptors2.3 PVD-Based Partial Fingerprint Alignment; 2.4 Experiments; 2.4.1 The Dataset; 2.4.2 The Neighborhood Size and Sampling Rate; 2.4.3 Corresponding Feature Point Detection; 2.4.4 Alignment Transformation Estimation; 2.4.5 Partial Fingerprint Recognition; 2.4.6 Computational Complexity Analysis; 2.5 Summary; References; Chapter 3: Fingerprint Pore Modeling and Extraction; 3.1 Introduction; 3.2 Review of Existing Pore Extraction Methods; 3.3 Dynamic Anisotropic Pore Model (DAPM); 3.4 Adaptive Pore Extraction; 3.4.1 DAPM Parameter Estimation |
|
3.4.2 Implementation Issues3.4.3 The Pore Extraction Algorithm; 3.5 Experiments and Performance Evaluation; 3.5.1 Pore Detection Accuracy; 3.5.2 Pore Based Partial-Fingerprint Recognition; 3.5.3 Pore Based Full-Size Fingerprint Recognition; 3.5.4 Computational Complexity Analysis; 3.6 Summary; References; Chapter 4: The Resolution for Fingerprint Recognition; 4.1 Introduction; 4.2 Multiresolution Fingerprint Images Collecting; 4.2.1 Acquisition Device; 4.2.2 Fingerprint Samples; 4.2.3 Implementation of Multiresolution; 4.3 Selecting Resolution Criteria Using Minutiae and Pores |
|
4.4 Experiments and Analysis4.4.1 Minimum Resolution Required for Pore Extraction; 4.4.2 Resolution Based on the Established Criteria; 4.4.3 Analysis of Ridge Width; 4.4.4 Fingerprint Recognition Accuracy; 4.5 Summary; References; Part II: Finger-Knuckle-Print Verification; Chapter 5: Finger-Knuckle-Print Verification; 5.1 Introduction; 5.2 The Finger-Knuckle-Print (FKP) Recognition System; 5.3 ROI (Region of Interest) Extraction; 5.4 FKP Feature Extraction and Matching; 5.4.1 Improved Competitive Coding (ImCompCode); 5.4.2 Magnitude Coding (MagCode); 5.4.3 FKP Matching |
|
5.5 Experimental Results5.5.1 Database Establishment; 5.5.2 Selection of the Image Resolution; 5.5.3 FKP Verification; 5.5.4 Speed; 5.5.5 Discussion; 5.6 Summary; References; Chapter 6: Local Features for Finger-Knuckle-Print Recognition; 6.1 Introduction; 6.2 Analysis of Local Features; 6.3 Extraction and Matching of Local Features; 6.3.1 Step 1: Phase Congruency (PC); 6.3.2 Local Feature Extraction and Coding; 6.3.3 Matching of Local Feature Maps; 6.3.4 Integration of Local Features; 6.4 Experimental Results and Discussions; 6.4.1 FKP Database and the Test Protocol |
| Summary |
This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in r ecent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance |
| Notes |
6.4.2 Determination of Parameters |
|
Print version record |
| Subject |
Biometric identification.
|
|
Optical pattern recognition.
|
|
TECHNOLOGY & ENGINEERING -- Engineering (General)
|
|
TECHNOLOGY & ENGINEERING -- Reference.
|
|
Optical pattern recognition
|
|
Biometric identification
|
| Form |
Electronic book
|
| Author |
Lu, Guangming
|
|
Zhang, Lei
|
| ISBN |
9783319615455 |
|
3319615459 |
|
