Automatically authenticating and inputting object information

A machine-readable non-transitory medium having stored thereon machine-executable instructions for authenticating, during an online transaction, an object, the instructions comprising:

• receiving an image of the object,
• wherein receiving the image of the object comprises:
• receiving image data captured of the object to reflect a plurality of perspectives;
• and
• extracting the image from the received image data;
• identifying a plurality of lines in the image;
• for each of the plurality of lines, determining an angle formed by the line with respect to a reference line;
• categorizing the plurality of lines based on the determined angles;
• identifying a first subset of the plurality of lines based on the lines of the first subset corresponding to a first range of angles;
• identifying a second subset of the plurality of lines based on the lines of the second subset corresponding to a second range of angles;
• from among the lines of the first subset, identifying a first line corresponding to a first edge of the object;
• from among the lines of the second subset, identifying a second line corresponding to a second edge of the object;
• obtaining a normalized view of the object;
• and
• retrieving information regarding visible features of the object based on the normalized view,
• wherein:
• categorizing the plurality of lines comprises categorizing the plurality of lines via a histogram;
• the first subset of the plurality of lines is centered around a first peak of the histogram;
• and
• the second subset of the plurality of lines is centered around a second peak of the histogram.

An apparatus for authenticating, during an online transaction, an object, the apparatus comprising:

• a network communication unit configured to transmit and receive data;
• and
• one or more processors configured to:
• receive an image of the object by:
• receiving image data captured of the object to reflect a plurality of perspectives;
• and
• extracting the image from the received image data;
• identify a plurality of lines in the image;
• for each of the plurality of lines, determine an angle formed by the line with respect to a reference line;
• categorize the plurality of lines based on the determined angles;
• identify a first subset of the plurality of lines based on the lines of the first subset corresponding to a first range of angles;
• identify a second subset of the plurality of lines based on the lines of the second subset corresponding to a second range of angles;
• from among the lines of the first subset, identify a first line corresponding to a first edge of the object;
• from among the lines of the second subset, identify a second line corresponding to a second edge of the object;
• obtain a normalized view of the object;
• and
• retrieve information regarding visible features of the object based on the normalized view,
• wherein:
• the one or more processors are further configured to categorize the plurality of lines by categorizing the plurality of lines via a histogram;
• the first subset of the plurality of lines is centered around a first peak of the histogram;
• and
• the second subset of the plurality of lines is centered around a second peak of the histogram.