1. A method to generate graphical object classifier data structures comprising: identifying graphical objects within an image recorded by a camera; for each identified graphical object within the image: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object; ii) determining pixels within the bounding region that correspond to the graphical object; iii) determining an origin of the graphical object based on at least one origin rule; iv) determining a text coordinate relative to the origin for each determined pixel; and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates; and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.