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Systems and methods for classifying objects in digital images captured using mobile devices

  • US 9,754,164 B2
  • Filed: 08/04/2015
  • Issued: 09/05/2017
  • Est. Priority Date: 03/13/2013
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving or capturing digital image data;

    detecting an object depicted in a digital image represented by the digital image data, wherein detecting the object comprises defining a plurality of candidate edge points based on statistically significant differences between each respective candidate edge point and a background of the digital image;

    processing the digital image to improve an image quality of at least the object;

    determining an object classification based on the processed digital image;

    building or determining an extraction model based at least in part on the object classification; and

    extracting, using the extraction model, information from one or more regions of interest within the digital image;

    wherein each region of interest depicts one or more object features selected from;

    text characters, symbols, photographs, and image characteristics; and

    wherein the information comprises one or more of;

    an object feature color;

    an object feature size;

    an object feature dimensions;

    an object feature shape;

    an object feature texture;

    an object feature brightness;

    an object feature intensity in one or more color channels;

    a position of one or more object features depicted in the digital image; and

    a positional relationship between one or more object features depicted in the digital image.

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