Advanced character recognition 6610

Abstract

ECSE 6610 Advanced Character Recognition. Principles and practice of the recognition of isolated or connected typeset, hand-printed, and cursive characters. Review of optical digitization, supervised and unsupervised estimation of classifier parameters, bias and variance, expectation maximization, the curse of dimensionality. Advanced classification techniques including classifier combinations, support vector machines, hidden Markov methods, styles, language context, adaptation, segmentation-free classifiers, indirect symbolic correlation. Prereq: ECSE 2610, Probability, Linear Algebra. Spring term annually.