Whole word, phrase or number reading

Abstract

Abstract The image of a word is taken and the two-dimensional discrete Fourier transform of the image is computed. The transformed image is filtered to the first three harmonics, with both real and imaginary components. These components then make up a total of 49 unique vectors which defines a 49 orthogonal vector space. The vector space is normalized to unity and each image of a word or phrase defines a point within this 49 orthogonal, hypersphere. The same process is done to the image for the Fourier components, where there is only 25 unique vector components. Similar looking words cluster in the hypersphere and the smaller distance from one point to another defines the probability of incorrectly recognizing a word. In a study for the case of two through eleven letters in a word using both 49 and 25 vector space calculations, the results show two through eleven words are recognizable using 49 vector space and possibly the 25 vector space. The 25 vector space shows problems with symmetry (dyslexia) in many of the incorrectly recognized words, which was never the case for the 49 vector space. A conclusion is that people with dyslexia might use a different process to recognize words and by using the real and imaginary components, whole word recognition is possible.

Inventors

• 👤 Mark A. O'Hair

Bibliographic Details