Biometric Security and Privacy. By Bon Sy
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1 Biometric Security and Privacy Module 1.1 By Bon Sy Queens College/CUNY, Computer Science
2 Objective of biometrics Towards the development of automatic system for recognizing a person based on physiological or behavioral characteristics. Generic taxonomy
3 Biometric application for security authentication Authentication: Prove the truthfulness of what one claims through automatic recognition of: something one has (e.g., ID card, security token) something one knows (e.g., password, PIN) something one is or does (e.g., fingerprint, voice recognition) A fingerprint is something one is A fingerprint reader setup is a biometric system.
4 General biometric system Source: Evaluation of Fingerprint Recognition Technologies BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik
5 Steps for biometric verification Source: Evaluation of Fingerprint Recognition Technologies BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik
6 What exactly is a pattern and a pattern classifier? A pattern is a structure governed by rules Pattern theory [Grenander 1993 & 1996], Information theory [Shannon 1948, Tufte ] Concept used in software design and information display explains complex phenomena through pattern formation and deformation. Provides backdrop for science and technology training modeling process for engineering design and scientific analysis Allows there to be links among various learning approaches
7 An example of a pattern Exhibits regularity Consistent behavior of data Elegant properties for generalization and prediction Examples: Fern fractal Tornados (weather phenomenon with a spiral rotating ti wind circulation)
8 Three components of a pattern Leaf Experiment, Part 1 Mathematical structure Functional expression Visual model Concept abstraction Graphical model Qualitative interrelationship
9 Extending pattern development Leaf Experiment, Part 2 Using randomization to perturb pattern Animating results
10 Four kinds of pattern manipulation Derivation Homogenous transformation Structure discovery Synthesis Concept abstraction Visualization Analysis (and Exploration) System identification Mathematical function discovery Summary Relationship declaration Dependency/decision model
11 Interrelationships among pattern manipulation FROM \ TO Mathematical Visual Graphical Dependency Mth Mathematicalti Derivation Synthesis Summary Visual Analysis Derivation Summary Graphical Analysis Synthesis Derivation Dependency
12 Mathcad Examples Each file demonstrates: Deriving graphical representation from algebraic representation Synthesizing relationship between abstract (mathematical structure) and concrete (visual representation) Exploring underlying relationship or model by varying parameters and analyzing graphical or numerical results Summarizing dependency relationship or building model
13 Lorenz Attractor MCD
14 Visualizing a probability space MCD Same track for visualizing the computational geometry of a biometric system!
15 General framework for pattern abstraction P Pattern Abstraction
16 General framework for pattern abstraction Concept Formulation
17 Mechanism for pattern modeling and learning Explore through visualization Discover dependency structure Analysis based on regression analysis Discover mathematical structure Pattern synthesis based on mathematical structure Discover visual structure Compare and validate Summary and explanation
18 Fingerprint pattern and security application (verification) Source: Evaluation of Fingerprint Recognition Technologies BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik
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