Face%20Biometric%20Applications

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Face Biometric Applications
Team Members Faune Hughes, Daniel Lichter,
Richard Oswald, and Michael Whitfield
Clients Fred Penna and Robert Zack
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Project Overview

• A literature review of past and present face
  biometric systems was conducted.
• How anthropometrics relates to facial biometric
  systems
• The orbital (eye) region of 13 candidates was
  studied and analyzed.
• Two facial biometric systems were reviewed,
  Neurotechnologys Verilook and Luxands FaceSDK,
  and experiments were conducted with the affects
  of aging in mind.
• A review of 360 Degree Webs FACE software to
  determine how secure it is in securing portable
  device such as a laptop

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Introduction
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Introduction

• Identity theft has prompted the need for more
  secure applications
• Review of current technology to determine
  feasability of Facial Biometrics applications
• Experiments implementing facial biometrics to
  gain insight into problems of face aging.

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Literature Review
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Facial Biometrics
Literature Review

• What is it
• How is it used
• Benefits

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Dimensional Technology
Literature Review

• 2D vs. 3D
• Special Considerations

Facial Recognition by Grid

• Overcoming limitations

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Live or Memorex
Literature Review

• Does the application care? or even notice?
• Human Validation

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Facial Biometrics in Use
Literature Review

• People
• Places
• Things

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Anthropometrics
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Anthropometrics

• Anthropometry the study and measurement of
  human physical dimensions
• Pioneer in Anthropometry Dr. Leslie Farkas
• Her defined landmarks prove that every face had
  different measurements

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Anthropometric Landmarks
Anthropometrics
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Anthropometrics
Orbital Measurements

• It is believed that the eye region does not
  change much over time.
• We measured the orbital region of each photo
  which consist of both the biocular distance and
  the intercanthal distance.

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Anthropometrics
Orbital Measurements
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Methodology
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Anthropometrics

• Photo Database
• 44 photos from 19 subjects
• Digitized through webcam, digital camera, or
  scanner

• Face Biometric Software
• Luxands FaceSDK
• Neurotechnologys Verilook

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Anthropometrics

• Mobile Face Biometric Software
• 360 Degree Webs FACE software

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Results Of Facial Recognition Experiments
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Changes in False Acceptance Rates

• F.A.R. margin of error

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Photo Environment

• Attributes of the photo and purpose for which it
  was taken

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Similarity Matrix
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Gender and Ethnicity
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Enrollment with Generalization

• Unique to Verilook
• Combines facial templates from multiple photos to
  give better matches

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Summary

• Comparison between Luxand and Verilook showed
  both strengths and weakness
• Verilook merges all photos of single person into
  one better matching
• Luxand shows better consistency of a person over
  a ten year span
• Future Work It would be best to use a public
  face database because of its more controlled
  environment