Face%20Image%20Recognition

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Face Image Recognition

• Face recognition technology works well with most
  of the shelf PC cameras, generally requiring
  320240 resolution at 35 frames per second.
• Facial recognition software products range in
  price from US50 to over US1000, making one of
  the cheaper biometric technologies.
• Four primary methods used to identify or verify
  users by means of facial features, including
  eigenface, PCA, 2D-PCA, LDA, 2D-LDA, wavelet
  analysis, neural network, and ad hoc methods.
• Singular Value Decomposition and Pattern
  Recognition.
• Fast Fourier Transform and Wavelet Analysis
• http//facial-scan.com/facial-scan_technology.htm
• http//www-white.media.mit.edu/vismod/demos/facere
  c

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A Face Recognition Flowchart
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Face Database

• YALE
• P. N. Belhumer, J. Hespanha, and D. Kriegman.
  Eigenfaces vs. fisherfaces Recognition using
  class specific linear projection. IEEE
  Transactions on Pattern Analysis and Machine
  Intelligence, Special Issue on Face Recognition,
  17(7)711--720, 1997.
• YALE B
• Georghiades, A.S. and Belhumeur, P.N. and
  Kriegman, D.J. From Few to Many Illumination
  Cone Models for Face Recognition under Variable
  Lighting and Pose. IEEE Trans. Pattern Anal.
  Mach. Intelligence 23(6)643-660 (2001).
• ORL
• Ferdinando Samaria, Andy Harter. Parameterisation
  of a Stochastic Model for Human Face
  Identification. Proceedings of 2nd IEEE Workshop
  on Applications of Computer Vision, Sarasota FL,
  December 1994
• AR
• A.M. Martinez and R. Benavente. The AR Face
  Database. CVC Technical Report 24, June 1998

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Faces From The Same Person
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Cumulative Distributions of Same Faces
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Faces from Different Persons
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Cumulative Distributions of Different Faces
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Fingerprint Image Verification/Identification

• Each fingerprint is a map of ridges and valleys
  in the epidermis layer of the skin.
• The ridge and valley structures from unique
  geometric patterns.
• A minutiae pattern consisting of ridge endings
  and bifurcations is unique to each fingerprint.
• Most of the contemporary automated fingerprint
  identification and verification systems (AFIS)
  are minutiae pattern matching systems.
• A modern AFIS is composed of 5 primary modules
  (1) Image Enhancement, (2) Image segmentation and
  Thinning, (3) Minutiae Points Extraction, (4)
  Core and Delta Localization, and (5) Point
  Pattern Matching.
• A fingerprint forum provided 5 sets of small
  databases for researchers to evaluate their
  identification/verification software.
• SecuGen EyeD and Veridicom are two leading
  companies selling both commercial fingerprint
  identification/verification systems and sensors
  with resolution 500dpi. Veridicom FPS110
  fingerprint reader sensed a 300300 fingerprint
  image in a 2cm by 2cm area.
• http//www.networkusa.org/fingerprint.shtml
• http//bias.csr.unibo.it/fvc2000
• http//bias.csr.unibo.it/fvc2004
• http//www.fpusa.com

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FINGERPRINTS.DEMON.NL
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FVC 2004
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FVC 2004

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A Paradigm for Fingerprint Matching
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Fingerprints and Their Histograms
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Fingerprint Image Processing
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Thank You for Your Attention

• Koala Angel wishes you have a wonderful
  university life
• I am from Brisbane, Australia and sleep 16 hours
  each day but you should not
• ? March 02, 2009

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Are They From the Same Person?
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Are They the Same Person?