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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1319

Title: Writer Independent Online Handwriting Recognition for Ethiopic Characters
Authors: Daniel, Negussie
Advisors: Dr. Solomon Atnafu
Copyright: 2006
Date Added: 29-Aug-2008
Publisher: Addis Ababa University
Abstract: A prototype for a writer independent online handwriting recognition system for Ethiopic characters has been designed. Nowadays, online handwriting systems are one of the most famous ways of interacting with computers. Despite this fact, the absence of localized pen computing applications for Ethiopic script called for the development and implementation of a writer-independent online handwriting recognition system for Ethiopic characters. Therefore, in this study the first prototype to ever be developed fro a writer independent online handwriting recognition system for Ethiopic characters is demonstrated. The prototype incorporates a preprocessing and classification module. The design of this prototype has concentrated on the thirty four first order Ethiopic characters with the vision of expanding the data corpus to include all Ethiopic characters and numerals. The data was collected from thirty randomly chosen individuals using a Wacom pen and tablet digitizer. Neuroscript MovaAlyzer was the software used to sample data points. The matching algorithm is Dynamic Time Warping. This algorithm calculated the distances between characters in the database and has yielded a recognition accuracy of 86.9%. With the expansion of the data corpus this recognition rate has promising prospects ahead.
Description: A THESIS SUBMITTED TO THE SCHOOL OF GRADUATE STUDIES OF ADDIS ABABA UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTERS OF SCIENCE IN COMPUTER SCIENCE
URI: http://hdl.handle.net/123456789/1319
Appears in:Thesis - Computer Science

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