1 / 17

Biometric Security and Privacy Module 1.1

This module explores biometrics as a means of automatic person recognition through physiological or behavioral characteristics. With a focus on fingerprint recognition technologies, it examines the principles of pattern classification, including structure, behavior, and visualization within biometric systems. Key concepts such as pattern manipulation, mathematical modeling, and security applications are discussed, highlighting their relevance in software design and scientific analysis. By visualizing dependencies and relationships, students will learn to synthesize information for effective biometric system implementation.

svetlana
Télécharger la présentation

Biometric Security and Privacy Module 1.1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Biometric Security and PrivacyModule 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. General biometric system Source: Evaluation of Fingerprint Recognition Technologies – BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik

  4. Steps for biometric verification Source: Evaluation of Fingerprint Recognition Technologies – BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik

  5. 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

  6. 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 wind circulation)

  7. Three components of a pattern Leaf Experiment, Part 1 • Mathematical structure • Functional expression • Visual model • Concept abstraction • Graphical model • Qualitative interrelationship

  8. Extending pattern development Leaf Experiment, Part 2 • Using randomization to “perturb” pattern • Animating results

  9. Four kinds of pattern manipulation • Derivation • Homogenous transformationÞStructure discovery • Synthesis • Concept abstractionÞVisualization • Analysis (and Exploration) • System identificationÞMathematical function discovery • Summary • Relationship declarationÞDependency/decision model

  10. Interrelationships among pattern manipulation FROM \ TO Mathematical Visual Graphical Dependency Mathematical Derivation Synthesis Summary Visual Analysis Derivation Summary Graphical Dependency Analysis Synthesis Derivation

  11. 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

  12. LorenzAttractor • MCD

  13. Visualizing a probability space • MCD • Same track for visualizing the computational geometry of a biometric system!

  14. General framework for pattern abstraction Pattern Abstraction

  15. General framework for pattern abstraction Concept Formulation

  16. 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

  17. Fingerprint pattern and security application (verification) Source: Evaluation of Fingerprint Recognition Technologies – BioFinger; Bundesamt fur Sicherjeit in der Informationstechnik

More Related