DTIC ADA229036: A Whole Word and Number pdf

DTIC ADA229036: A Whole Word and Number

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Description of the Book:

The Fourier transform is investigated as a means for developing an optical reader capable of reading a large vocabulary without segmenting the image of a word into individual characters. The reader is capable of reading printed and cursive font styles, is scale invariant, and is substantially insensitive to noise. The image of a particular word is treated as a single symbol; the two dimensional low frequency Fourier coefficients (assuming n coefficients are calculated) define the word’s location on an n dimensional hypersphere of unit radius. The distance between individual locations (words) categorizes similar and dissimilar words. The smaller the distance, the more similar images are. Multiple images of a word using various font styles form a unique cluster on the surface of the hypersphere. The distance between clusters (different words) is greater than the distance across a cluster (same word in different font styles). Therefore, by using the centroid of these clusters to build a library of words, input or test words match to the nearest cluster centroid using a minimum distance calculation.

This algorithm is capable of correctly recognizing at least 5000 words using 24 various font styles (120,000 individual images

• Creator/s: Defense Technical Information Center
• Date: 12/1/1990
• Year: 1990
• Book Topics/Themes: DTIC Archive, O’Hair, Mark A, AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING, *FOURIER TRANSFORMATION, *WORD RECOGNITION, *OPTICAL SCANNING, *OPTICAL IMAGES, *READING MACHINES, COMPUTATIONS, ALGORITHMS, THESES, LOW FREQUENCY, SENSITIVITY, CLUSTERING, SCALE, COEFFICIENTS, WORDS(LANGUAGE), SYMBOLS, NOISE, VOCABULARY, RANGE(DISTANCE), NUMBERS, INVARIANCE, RADIUS(MEASURE), CENTER OF GRAVITY, POSITION(LOCATION), OPTICAL PROPERTIES, LIBRARIES, TWO DIMENSIONAL

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