Patent Document ID: 4764973
Application ID: 06867642

Base Claim:
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.

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Claim 2:
2. The method according to claim 1, wherein the phase components of the 2DDFT are not used and only the unique 25 orthogonal vectors from the magnitude components are used, except for the exclusion of the phase components, steps (a) through (m) are repeated using the 25 vector space wherein the image recognized by the computer in step (i) will be similar to a person having dyslexia.