Touchless Fingerprint Biometrics 1st Edition by Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti ISBN 1351230514 9781498707626

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Product details:

ISBN 10: 1351230514 
ISBN 13: 9781498707626
Author: Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti

Touchless Fingerprint Biometrics 1st Table of contents:

1. Introduction

• 1.1 State of the Art

• 1.2 The Performed Research

• 1.3 Results

• 1.4 Structure of This Book

2. Biometric Systems

• 2.1 Biometric Traits

• 2.2 Applications

• 2.3 Evaluation of Biometric Systems

  • 2.3.1 Evaluation Strategies

  • 2.3.2 Evaluation Aspects

  • 2.3.3 Accuracy Evaluation

    • 2.3.3.1 Methods for Accuracy Evaluation

    • 2.3.3.2 Accuracy Indexes

  • 2.3.4 Confidence Estimation

• 2.4 Research Trends

• 2.5 Summary

3. Touchless and Less-Constrained Biometrics

• 3.1 Less-Constrained Biometric Systems

• 3.2 Touchless Biometric Traits

  • 3.2.1 Less-Constrained Face Recognition

  • 3.2.2 Less-Constrained Iris Recognition

  • 3.2.3 Soft Biometrics

  • 3.2.4 Other Biometric Traits

• 3.3 Touch-Based Biometric Traits

• 3.4 Summary

4. Fingerprint Biometrics

• 4.1 Fingerprint Recognition

• 4.2 Characteristics of the Fingerprint

• 4.3 Applications

• 4.4 Analysis of Fingerprint Samples

  • 4.4.1 Level 1 Analysis

  • 4.4.2 Level 2 Analysis

  • 4.4.3 Level 3 Analysis

• 4.5 Touch-Based Fingerprint Recognition

  • 4.5.1 Acquisition and Fingerprint Images

  • 4.5.2 Quality Estimation of Fingerprint Samples

  • 4.5.3 Image Enhancement

  • 4.5.4 Feature Extraction and Matching

    • 4.5.4.1 Correlation-Based Techniques

    • 4.5.4.2 Minutiae-Based Methods

    • 4.5.4.3 Other Feature-Based Methods

  • 4.5.5 Fingerprint Classification and Indexing

  • 4.5.6 Computation of Synthetic Fingerprint Images

• 4.6 Touchless Fingerprint Biometrics

  • 4.6.1 Based on Touchless Two-Dimensional Samples

    • 4.6.1.1 Acquisition

    • 4.6.1.2 Computation of Touch-Equivalent Image

    • 4.6.1.3 Touch-Equivalent Samples from Multiple Images

    • 4.6.1.4 Feature Extraction and Matching

  • 4.6.2 Based on Touchless Three-Dimensional Samples

    • 4.6.2.1 Acquisition

    • 4.6.2.2 Computation of Touch-Equivalent Image

    • 4.6.2.3 Feature Extraction and Matching

  • 4.6.3 Applications of Touchless Fingerprint Biometrics

• 4.7 Summary

5. Touchless Fingerprint Recognition

• 5.1 Touchless Fingerprint Recognition Techniques

• 5.2 Methods Based on Two-Dimensional Samples

  • 5.2.1 Acquisition

  • 5.2.2 Quality Assessment of Touchless Fingerprint Images

    • 5.2.2.1 Computation of the ROI

    • 5.2.2.2 QA: Computational Intelligence Classifiers

    • 5.2.2.3 QB: Techniques from Literature

  • 5.2.3 Computation of Touch-Equivalent Images

    • 5.2.3.1 Enhancement by Contextual Filters (EA)

    • 5.2.3.2 Enhancement by Ridge-Following (EB)

    • 5.2.3.3 Resolution Normalization

  • 5.2.4 Analysis of Level 1 Features

    • 5.2.4.1 Singular Region Estimation

    • 5.2.4.2 Feature Extraction

    • 5.2.4.3 Core Estimation Using Computational Intelligence

  • 5.2.5 Analysis of Level 2 Features

  • 5.2.6 Reduction of Perspective and Rotation Effects

    • 5.2.6.1 Image Preprocessing

    • 5.2.6.2 Finger Rotation Simulation

    • 5.2.6.3 Feature Extraction

    • 5.2.6.4 Rotation Estimation with Neural Networks

    • 5.2.6.5 Template Computation

• 5.3 Methods Based on Three-Dimensional Models

  • 5.3.1 3D Reconstruction of Minutiae Points

    • 5.3.1.1 Acquisition, Preprocessing, Minutiae Estimation

    • 5.3.1.2 Features Computation for Each Minutia

    • 5.3.1.3 Classification of Minutiae Pairs

    • 5.3.1.4 3D Reconstruction of Minutiae Pairs

  • 5.3.2 3D Reconstruction of Finger Surface

    • 5.3.2.1 Camera Calibration

    • 5.3.2.2 Image Acquisition

    • 5.3.2.3 Image Preprocessing

    • 5.3.2.4 Extracting and Matching Reference Points

    • 5.3.2.5 Refining Reference Points

    • 5.3.2.6 3D Surface Estimation and Image Wrapping

    • 5.3.2.7 Texture Enhancement

  • 5.3.3 Feature Extraction and Matching on 3D Templates

  • 5.3.4 Unwrapping 3D Models

  • 5.3.5 Quality Assessment of Touch-Equivalent Images from 3D Models

    • 5.3.5.1 Image Segmentation

    • 5.3.5.2 Feature Extraction

    • 5.3.5.3 Quality Estimation

• 5.4 Computation of Synthetic Touchless Fingerprint Samples

  • 5.4.1 Computation of Silhouette

    • 5.4.1.1 Average Silhouettes from Real Images

    • 5.4.1.2 Finger Silhouette Simulation

  • 5.4.2 Computation of 3D Finger Shape

  • 5.4.3 Computation of 3D Ridge Pattern

    • 5.4.3.1 Ridge-Pattern Analysis

    • 5.4.3.2 Noise Injection

    • 5.4.3.3 Computation of 3D Ridges

    • 5.4.3.4 Camera Focus Simulation

    • 5.4.3.5 Ridges Superimposition

  • 5.4.4 Skin Color Simulation

  • 5.4.5 Illumination Conditions Simulation

  • 5.4.6 Multiple-View Acquisition Simulation

• 5.5 Summary

6. Experimental Results

• 6.1 Methods Based on Single Touchless Images

  • 6.1.1 Quality Estimation

    • 6.1.1.1 Training and Test Datasets Creation

    • 6.1.1.2 Application of Method QB

    • 6.1.1.3 Application of Method QA

    • 6.1.1.4 Final Results and Discussion

  • 6.1.2 Analysis of Level 1 Features

    • 6.1.2.1 Datasets Creation

    • 6.1.2.2 Computational Intelligence Techniques & Results

  • 6.1.3 Reduction of Perspective and Rotation Effects

    • 6.1.3.1 Dataset Creation and Parameter Tuning

    • 6.1.3.2 Finger Rotation Simulation

    • 6.1.3.3 Neural Estimation of Roll-Angle Difference

    • 6.1.3.4 Impact on Biometric Performance

• 6.2 Methods Based on Three-Dimensional Models

  • 6.2.1 3D Reconstruction of Minutiae Points

    • 6.2.1.1 Training and Testing Datasets

    • 6.2.1.2 Classification of Minutiae Pairs

    • 6.2.1.3 3D Minutia Computation

  • 6.2.2 3D Reconstruction of Finger Surface

    • 6.2.2.1 Used Datasets

    • 6.2.2.2 Method Parameters

    • 6.2.2.3 Accuracy of Reconstruction

  • 6.2.3 Quality Assessment of Unwrapped Fingerprint Images

  • 6.2.4 Classification Results

  • 6.2.5 Comparison with Literature

• 6.3 Comparison of Biometric Recognition Methods

  • 6.3.1 Used Datasets

  • 6.3.2 Parameters for Touchless Techniques

  • 6.3.3 Accuracy

    • 6.3.3.1 2D-Based Approach Results

    • 6.3.3.2 3D-Based Approach Results

    • 6.3.3.3 Technology Comparisons

  • 6.3.4 Speed

  • 6.3.5 Cost

  • 6.3.6 Scalability

  • 6.3.7 Interoperability

  • 6.3.8 Usability

  • 6.3.9 Social Acceptance

  • 6.3.10 Security

  • 6.3.11 Privacy

  • 6.3.12 Final Results

• 6.4 Computation of Synthetic 3D Models

• 6.5 Summary

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Tags: Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti, Touchless Fingerprint