There are various elements working together to perform optical character recognition, including pattern identification, artificial intelligence and machine vision.
Matrix Matching (also known as Pattern Matching): it identifies the image-based files as the equivalent plain text character when an image (a stored collection of bitmapped patterns or outlines of characters) corresponds to one of these selected bitmaps within a certain degree of likeness. It is simpler and more common to apply.
Feature Extraction: (also known as Intelligent character recognition /ICR): it searches for common elements, like open spaces, closed forms, lines-diagonals intersecting, etc. instead of depending on precise matching to set templates.
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