1. The method of recognizing text, with a system having representative digital images stored in memory, comprising the steps: (a) inputting an image representing text; (b) digitizing the image to form a digital picture thereof; (c) storing the image in memory; (d) breaking the image into blocks of data, wherein the blocks represent entire words, phrases, or numbers; (e) placing a window around the first individual block; (f) performing a two-dimensional discrete Fourier Transform (2DDFT) of the image within the window; (g) filtering to the first three harmonics, with both real and imaginary components, these components then making up a total of 49 unique vectors which define a 49 orthogonal vector space; (h) energy normalizing to unity the 49 unique vectors, which will eliminate the effects due to image brightness; (i) searching a library of known 49 orthogonal vectors and finding the closest match by euclidian distance; (j) after finding a closest match, recognizing the image within the window as a particular word, phrase, or number, and storing the result in memory; (k) placing a window around the next individual block and repeating steps (f) through (j) until all blocks within the image are recognized; and (m) outputting the resulting phrases, words, or numbers as text; and wherein symmetry properties are used so that the image for each block is recognized similar to a person having dyslexia.