Abstract

The study of ancient manuscripts is a very important field. These manuscripts hold the keys to our past as a human race. Unfortunately, many ancient manuscripts have been degraded to the point where they are no longer legible. Many techniques have been developed to try to read parts of illegible documents. Neural networks are a fairly new technology with an extremely wide range of applications. The goal of this project is to determine how useful a neural network would be as a tool to help in deciphering ancient manuscripts, and, more specifically, Hebrew manuscripts. An image processing application was created to do preprocessing on the characters, and then two neural networks were created to see how well they could perform when analyzing degraded characters. The results were not completely conclusive, but they seem to indicate that a neural network would not be a very good tool to use in analysis of degraded characters.

Publication Date

1998

Document Type

Thesis

Advisor

Not listed.

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014. senior project.

Campus

RIT – Main Campus

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