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BIOMETRICS PowerPoint Presentation

BIOMETRICS

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BIOMETRICS

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  1. BIOMETRICS Maggie Perry

  2. What is Biometrics? The term biometric can refer to two things: • A characteristic : a measurable biological and behavioral characteristic that can be used for automated recognition • A process : an automated method of recognizing an individual based on measurable biological and behavioral characteristics

  3. Fingerprint • Fingerprints are unique and consistent. • Fingerprints consist of a pattern of peaks and valleys. • Various kinds of sensors can be used. • 2 categories of matching software- pattern and minutiae-based.

  4. Hand Geometry • The hand is placed on a plate with 5 guiding pegs. • 3 images are taken and over 900 measurements are made. • The measurements taken are compared to those stored. • This is only used for verification.

  5. Iris • Iris patterns are not genetically linked and are unique. • Infrared digital camera used to capture image. • The image is converted into a IrisCode. • In recognition the IrisCodes on file and the new code are compared.

  6. DNA • DNA is not currently used as a biometric for several reasons: • Analysis and comparisons cannot be done in real time. • Actual samples must be taken, not just images. • DNA is the biometric of the future.

  7. Face • There are 2 different approaches- geometric and photometric. • 3 algorithms are commonly used. • Principal Components Analysis (PCA) • Linear Discriminant Analysis (LDA) • Elastic Bunch Graph Matching (EBGM)

  8. Voice • Voice recognition is both a physiological and behavioral biometric. • 2 categories of voice recognition. • Text Dependent • Text Independent • Performance is inconsistent but changes are still being made.

  9. Dynamic Signature • This is very different from electronic signature capturing. • Characteristics vary from program to program. • Some programs are adaptable and can learn. • Very unique and difficult to trick unlike graphical images.

  10. Comparing Biometrics • Uniqueness • Permanence • Collectability • Performance • Acceptability • Circumvention

  11. Biometric Systems • Composed of 5 parts • Sensor • Signal processing algorithm • Data storage • Matching algorithm • Decision process

  12. Applications • Security • Identification • Disney World!!!

  13. Works Cited • http://en.wikipedia.org/wiki/Image:Biometrics_traits_classification.png • http://www.biometrics.gov/docs/irisrec.pdf • http://www.biometrics.gov/docs/handgeometry.pdf • http://www.biometrics.gov/docs/fingerprintrec.pdf • http://www.biometricgroup.com/reports/public/reports/dna.html • http://www.biometrics.gov/docs/speakerrec.pdf • http://www.biometrics.gov/docs/facerec.pdf • http://www.biometrics.gov/docs/dynamicsig.pdf • http://www.biometrics.gov/docs/biooverview.pdf