The science of biometrics. Security technology for identity verification

Content: Cover
Half Title
Title Page
Copyright Page
Dedication
Table of contents
1 Introduction
Overview of Biometric Technology: Authentication, Biocryptography, and Cloud-Based Architecture
Overview of Adopting Biometric Technologies: Challenges and Solutions
2 Review of Biometrics
Two Components of Biometric Technology --
A Review of the Technical and Social Impacts
The Social Implications
The Technical Implications
A Formal Definition of Biometrics
The Difference Between Physiological and Behavioral-Based Biometrics
What is Recognition?
Physical Biometrics
Behavioral Biometrics Understanding the Biometric TemplateThe Mathematical Files of the Biometric Templates
The Important Biometric Metrics and Key Performance Indicators
The False Acceptance Rate
The False Rejection Rate
The Equal Error Rate
The Ability to Verify Rate
The Failure to Enroll Rate
The Major Market Applications of the Biometric Technologies
Physical Access Control
Time and Attendance
Logical Access Control
Mobile and Wireless
Mobile and E-Commerce
Surveillance
A Technical Review of the Major Biometric Modalities
Physical Biometrics --
Hand Geometry Recognition Physical Biometrics --
Vein Pattern RecognitionPhysical Biometrics --
Facial Recognition
Physical Biometrics --
Voice Recognition
Physical Biometrics --
Iris Recognition
Physical Biometrics --
Fingerprint Recognition
Behavioral Biometrics --
Signature Recognition
Behavioral Biometrics --
Keystroke Recognition
References
3 Iris Recognition
Physical and Behavioral Biometrics
The Differences Between Physical Biometrics and Behavioral Biometrics
The Eye: The Iris and the Retina
The Retina
The Physiology of the Retina
The Process of Retinal Recognition The Advantages and Disadvantages of Retinal RecognitionThe Seven Criteria to Evaluate Retinal Recognition
The Iris
The Physiological Structure of the Iris
How Iris Recognition Works: The Mathematical Algorithms
The "Father" of Iris Recognition --
Dr. John Daugman
The Theoretical Framework of Iris Recognition --
Tarawneh and Thunibat
Image Acquisition
Segmentation
Normalization
Feature Encoding
Feature Matching
Reducing the Effects of Pupil Dilation and Constriction --
Proenca and Neves
Reducing the Effects of Eyelids and Eyelashes --
Lin et al. and Zhou and Sun Reducing the Signal Noise in the Eye Image --
Shivani and SharmaThe Applications of Iris Recognition
Overview of the Major Applications
Spoofing --
Print Attacks --
Gupta et al.
Wireless Networks --
Ibrahim et al.
Two Methods for the Comparison of the Iris-Based Verification and Enrollment Templates: The Libor Masek Algorithm
A Single Method for Both the Compression and the Decompression of the Iris-Based Images: The Genetic Algorithm ...
The Design and Implementation of the Constructs of an Actual Wireless System
Fuzzy Neural Networks --
Karthikeyan