Theses and Dissertations - UTB/UTPA
Parametric classification in domains of characters, numerals, punctuation, typefaces and image qualities
Date of Award
Master of Science (MS)
Dr. Xiaodong Wu
Dr. John P. Abraham
Dr. Richard H. Fowler
This thesis contributes to the Optical Font Recognition problem (OFR), by developing a classifier system to differentiate ten typefaces using a single English character ‘e’. First, features which need to be used in the classifier system are carefully selected after a thorough typographical study of global font features and previous related experiments. These features have been modeled by multivariate normal laws in order to use parameter estimation in learning. Then, the classifier system is built up on six independent schemes, each performing typeface classification using a different method. The results have shown a remarkable performance in the field of font recognition. Finally, the classifiers have been implemented on Lowercase characters, Uppercase characters, Digits, Punctuation and also on Degraded Images.
University of Texas-Pan American
Copyright 2004 Osama Ahmed Khan. All Rights Reserved.