Automatic extraction of information from obfuscated image regions

A method comprising:

• segmenting, by one or more hardware processors, an image into a plurality of image segments;
• determining, by the one or more hardware processors, that at least a first image segment in the plurality of image segments comprises obfuscated data;
• deriving, by the one or more hardware processors, attributes associated with unobfuscated data in a subset of image segments in the plurality of image segments;
• determining, by the one or more hardware processors, a layout of the image based on the unobfuscated data in the subset of image segments and relative positions of the subset of image segments within the image;
• generating, by the one or more hardware processors, restored data for the obfuscated data based on the layout of the image and the derived attributes;
• determining that the image comprises transaction data associated with one or more electronic transactions based on the restored data;
• and
• configuring a risk engine to assess a risk level of incoming electronic transaction requests based at least in part on the transaction data.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• segmenting an image into a plurality of image segments;
• determining that at least a first image segment in the plurality of image segments comprises obfuscated data;
• analyzing unobfuscated data in a subset of image segments in the plurality of image segments;
• deriving attributes associated with the unobfuscated data based on the analyzing;
• determining a layout of the image based on the unobfuscated data in the subset of image segments and relative positions of the subset of image segments within the image;
• generating restored data for the obfuscated data based on the layout of the image and the derived attributes;
• determining that the image comprises transaction data associated with one or more electronic transactions based on the restored data;
• and
• configuring a risk engine to assess a risk level of incoming electronic transaction requests based at least in part on the transaction data.