Biometric Identification Technologies Based on Modern Data Mining Methods

Preface
Introduction
Contents
Possibilities of Applying the Triangulation Method in the Biometric Identification Process
	1 Introduction
	2 Previous Research
	3 Biometric Authentication System Based on Face Recognition Techniques
	4 Triangulation Method and Face Recognition Technique
	5 Specification of the Proposed Model
		5.1 Strategy for Categorization of Face Recognition
		5.2 User Requirements
		5.3 System Requirements
		5.4 General Scenario for 2D Face Recognition
		5.5 Advantages of the Proposed Model
	6 Experimental Results
	7 Conclusion and Further Works
	References
Biometric Gait Identification Systems: From Spatio-Temporal Filtering to Local Patch-Based Techniques
	1 Introduction
	2 Similar Works
	3 Selected Approaches
		3.1 Preprocessing of Data
		3.2 Gait Spatio-Temporal Filtering
		3.3 Local Patch-Based Gait Features
		3.4 Classification
	4 System-Level Evaluation Tools
		4.1 False Match Rate (FMR) and False Non-match Rate (FNMR) Criteria
		4.2 Computational and Memory Complexity
		4.3 Scalability
	5 Results and Discussion
		5.1 Algorithm-Level Evaluations
		5.2 System-Level Evaluations
		5.3 System-Level Performance Evaluation Criteria
	6 Conclusion
	References
Interactive Biometric Identification System Based on the Keystroke Dynamic
	1 Introduction
	2 Formulation of the Problem
	3 The Existing Works in This Area
	4 Biometric Identification Model Based on Keystroke Dynamics
	5 Experimental Research Results
	6 Conclusion
	References
Analysis of the Dynamics of Handwriting for Biometric Personality Identification Based on Cellular Automata
	1 Introduction
	2 The Main Provisions of Biometric Identification of a Person According to the Dynamics of Handwritten Text
	3 Biometric Identification Method Based on the Analysis of the Elements of the Dynamics of Handwritten Text
	4 Using Cellular Automata to Analyze Handwriting Dynamics
	5 Conclusion
	References
Gait Identification Based on Parallel Shift Technology
	1 Introduction
	2 Formulation of the Problem and Relative Works
	3 Theoretical Foundations of Parallel Shift Technology
	4 Method Description
	5 Information Pixel Selection Method
	6 Experiment
	7 Conclusion
	References
User Identification Using Images of the Handwritten Characters Based on Cellular Automata and Radon Transform
	1 Introduction
	2 The Radon Transform Based on a Hexagonal Lattice
	3 Description of Handwriting Image Recognition Method
	4 Experiment Description
	5 Conclusion
	References
Automated Calculation of Fundamental Matrix from Stereo Images from a Different Point of View
	1 Introduction
	2 Correspondence Matching
	3 Epipolar Geometry and the Calculation of the Fundamental Matrix
		3.1 Epipolar Geometry
		3.2 Fundamental Matrix
	4 Methods to Calculate the Fundamental Matrix
		4.1 Linear Method
		4.2 Nonlinear Method
		4.3 Iterative Method
	5 Simulation Results and Discussion
	6 Conclusions
	References
Identification of Persons Using Stereo Image Pairs and Perturbation Functions
	1 Introduction
	2 Restoration of Three-Dimensional Coordinates of a Scene on Stereo Pairs of Images
	3 Conditions and Assumptions
	4 System Calibration
	5 Match Search Task
	6 Parametric Tests
	7 Nonparametric Criteria
	8 The Method of Face Recognition
	9 Conclusions
	References
Identification of a Person by Palm Based on an Analysis of the Areas of the Inner Surface
	1 Introduction
	2 Description and Software Implementation of the Method
	3 Experiment Description
	4 Conclusion
	References
Search of Informative Biometric Characteristic Features of the Palm Based on Parallel Shift Technology
	1 Introduction
	2 Parallel Shift Technology
	3 Analysis of the Geometric Shape of the Palm
	4 Experiment and Basic Acceptable Values
	5 Conclusion
	References
Multitrait Selfie: Low-Cost Multimodal Smartphone User Authentication
	1 Introduction
	2 Related Work
	3 Proposed Multitrait Selfie Smartphone User Authentication System
		3.1 Face and Ocular Region Features
		3.2 Phone-Movements Features
		3.3 Touchstroke Features
		3.4 Classification Methods
	4 Experiments
		4.1 Datasets
		4.2 Experimental Protocols
		4.3 Experimental Results and Discussion
	5 Conclusion
	References
Research of Biometric Characteristics of the Shape of the Ears Based on Multi-Coordinate Methods
	1 Introduction
	2 Software Implementation of Biometric Identification of the Geometry of the Auricle with a Clear Selection
	3 Experiment
	4 Automatic Extraction of the Auricle from a Complex Image
	5 Conclusion
	References
Index