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JACKIE ABBAZIO

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Facial recognition through the use of computer analysis of facial structure. ... measures a number of points of facial characteristics such as eyes, nose, mouth, ... – PowerPoint PPT presentation

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Title: JACKIE ABBAZIO


1
Face Recognition Systems
  • TEAM-1
  • JACKIE ABBAZIO
  • SASHA PEREZ
  • DENISE SILVA
  • ROBERT TESORIERO

2
Overview Face Biometrics
  • Facial recognition through the use of computer
    analysis of facial structure.
  • Software measures a number of points of facial
    characteristics such as eyes, nose, mouth, angles
    of key features, and lengths of various portions.
  • Collected data is used to create a template
    through a mathematical algorithm
    (Neural-Networks, Eigenface) and the file is
    stored within the database.
  • File is compared to other files within the
    database in search of an identity match.

3
Face Biometrics Continued
  • Face biometric systems employee the capturing of
    facial pattern characteristics through the use of
    still photography or video clips.
  • Pattern recognition software relies on
  • Data collection raw data
  • Feature extraction eyes, nose, mouth, etc
  • Classification class the object is placed into
    (male or female, skin tone, etc)

4
FAR FRR
  • FAR ( False Acceptance Rating) the false
    acceptance rating is the probability that the
    software will incorrectly declare a successful
    match between the input data against the
    database.
  • FRR (False Rejection Rating) the false
    rejection rating is the probability that the
    software will declare a failure to match the
    input data against the database.

5
Face Biometric Systems Project
  • The face biometric systems project involved the
    research and testing of various facial biometric
    softwares based on criteria set by the clients.
  • Two face biometric softwares were chosen and
    tested (Luxand FaceSDK VeriLook).

6
Software Comparison Table
7
Luxands FaceSDK 1.7
  • After extensive testing and researching the Face
    Biometric Systems, we recommend purchasing
  • Luxands FaceSDK 1.7 software. It has the
    following strengths
  • Easy to use
  • Ability to enroll all images
  • Matches work best at FAR of 50, but produces
    matches at FAR of 10.
  • Works best for aging
  • Free demo version used

8
Luxand FaceSDK Example
  • Enrolled into class database
  • This 1979 image matched with 2007 image
  • 2008 image with 51 similarity

9
Luxand FaceSDK Similarity Matrix
10
VeriLook 3.2
  • Designed for biometric system developers and
    integrators.
  • Allows for easy integration and rapid development
    of biometric applications using functionality.
  • Can perform simultaneous multiple face detections
    with the ability to process 100,000 faces per
    second and it recommends the minimum image size
    to be 640x480 pixels .

11
VeriLook Test Result
  • Software works best with high resolution photos.
  • False Acceptance Rating set for 100
  • All images matched 100 against the same image in
    the database. The score of 180 is interpreted as
    an exact match.
  • Free demo version used

12
VeriLook Aging Result
  • The results show that the photo from 1969 matched
    a photo from 2008 with a similarity score of 18
    or 10.
  • This result is comparable with the FaceSDK age
    identification test, where the same image from
    1969 matched the same photo from 2008 with a
    61.9 similarity rate.

13
Software Comparison TestLuxand FaceSDK -
VeriLook
  • Tests were run using both Luxand FaceSDK 1.7 and
    VeriLook using the four photos seen here.
  • Similarity ratings varied from one software to
    the other.
  • Luxand FaceSDK results provided more results
    based on Similarity Rating than VeriLook .

14
Luxand VeriLook Comparison
  • FaceSDK Identification and Authentication Results
  • VeriLook Identification and Authentication
    Results

15
Conclusion
  • Luxand FaceSDK 1.7
  • works very well in identifying face similarity
    among people in a group
  • worked relatively well matching an image of the
    subject as a child
  • VeriLook 3.2
  • had more limitations than FaceSDK, it only
    accepted high-res images.
  • results for the similarity test were lower than
    the FaceSDK software
  • PDA Security
  • none of the software tested was suitable for PDA
    security use
  • Further Work
  • we recommend further work using 3-D face
    biometrics software and scanners to find optimal
    solution for PDA security
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