Image-based CAPTCHA exploiting context in object recognition

A system, comprising:

• one or more processors;
• one or more modules stored in the memory and executable by the one or more processors to:
• display an image in a first display area, the image having a missing object and an area of the image with the missing object filled in with image inpainting;
• display a set of candidate objects in a second display area, the set of candidate objects including the missing object distributed among other candidate objects,
• display the image with a candidate object selected from the set of candidate objects in the first display area in response to a drag and drop of the candidate object into the first display area,
• evaluate the candidate object with respect to the image based on visual recognition;
• determine that the candidate object is selected by a bot in response to identifying the candidate object as not belonging to the image;
• and
• determine that the candidate object is selected by a human in response to identifying the candidate object as the missing object that belongs in the image.

A computer-implemented method, comprising:

• displaying, on a device interface, a set of candidate objects for object recognition and an image having a missing object, the set of candidate images including the missing object and a first candidate object, wherein the first candidate object does not correspond to the image;
• detecting a selection of a candidate object from the set of candidate objects;
• and
• determining whether the selection was made by a human based on whether the candidate object corresponds to the missing object.