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Feature Extraction And Use With A Probability Density Function (PDF) Divergence Metric

  • US 20140023278A1
  • Filed: 03/07/2013
  • Published: 01/23/2014
  • Est. Priority Date: 07/19/2012
  • Status: Active Grant
First Claim
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1. A method of symbol recognition, the method comprising:

  • receiving a portion of an image of a scene of real world;

    traversing at least the portion of the image to;

    identify changes in intensities of pixels in the image; and

    generate a group of counts based on the changes, without encoding positions at which the changes occur in the image;

    wherein an intensity of each pixel in the portion of the image is used to generate at least one count in the group of counts;

    wherein a size of the group of counts is predetermined;

    wherein at least a first count in the group of counts is incremented, when an intensity change between two pixels, in a direction of traversal, exceeds a predetermined threshold;

    wherein at least a second count in the group of counts is incremented, when the intensity change is positive and the intensity change does not exceed the predetermined threshold;

    using a measure of difference between two probability distributions, to compare a vector that is based on at least the group of counts with a plurality of predetermined vectors of corresponding symbols in a set, to identify a specific symbol therein; and

    storing the specific symbol in a memory, as being recognized in the image;

    wherein the memory is coupled to one or more processors; and

    wherein the traversing and the using are performed by the one or more processors.

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