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picture1_Quality Ppt 70653 | Week05 Iriscoding


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File: Quality Ppt 70653 | Week05 Iriscoding
properties of the iris has highly distinguishing texture right eye differs from left eye twins have different iris texture not trivial to capture quality image works well with cooperative subjects ...

icon picture PPT Filetype Power Point PPT | Posted on 30 Aug 2022 | 3 years ago
Partial capture of text on file.
        Properties of the iris
         Has highly distinguishing texture
         Right eye differs from left eye
         Twins have different iris texture
         Not trivial to capture quality image
         + Works well with cooperative 
          subjects
         + Used in many airports in the world
                              
        Represent iris texture as a 
        binary vector of 2048 bits
   Representation 
   of iris and also 
   of a person
   Textured region 
   is unique for a 
   person
                              
        Find (nearly circular) iris 
        and create 8 bands or 
        zones
    Need to locate 
    the overall 
    region of the iris. 
    Then need to 
    “measure” 
    texture in 1024 
    small 
    neighborhoods; 
    perhaps 128 
    around each of 8 
    bands.
                              
        Cross correlate 1024 local 
        areas with a Gabor 
        wavelet
    Get 2 bits at                       Filter (mask) 
    each                                has 2 width 
    location/orientati                  parameters
    on. Threshold the 
    dot product of 2 
    filters with the 
    iris area.
   Polar coordinates 
   locate the texture 
   patch. 
                              
            Use 2nd directional 
            derivative and 1st 
            directional derivative
                                                                  st
                                                                1  derivative of 
      LOG wave in                                               Gaussian in 
      alpha direction;                                          alpha direction; 
      Gaussian                                                  Gaussian 
      smoothing in the                                          smoothing in 
      beta direction.                                           beta direction
                                                
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...Properties of the iris has highly distinguishing texture right eye differs from left twins have different not trivial to capture quality image works well with cooperative subjects used in many airports world represent as a binary vector bits representation and also person textured region is unique for find nearly circular create bands or zones need locate overall then measure small neighborhoods perhaps around each cross correlate local areas gabor wavelet get at filter mask width location orientati parameters on threshold dot product filters area polar coordinates patch use nd directional derivative st log wave gaussian alpha direction smoothing beta...

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