Optical character categorization: Clustering as it applies to OCR

Show full item record

Redirect: RIT Scholars content from RIT Digital Media Library has moved from http://ritdml.rit.edu/handle/1850/13300 to RIT Scholar Works http://scholarworks.rit.edu/theses/67, please update your feeds & links!
Title: Optical character categorization: Clustering as it applies to OCR
Author: Greenwald, Jennifer
Abstract: I applied clustering analysis to the problem of creating tagged training data for optical character recognition (OCR). The creation of labeled character data by hand is a slow and cumbersome process. My belief is that clustering methods can be applied to character data before tagging it, allowing the operator to label entire groups of characters at once and greatly speeding the time in which tagged character data can be generated. This thesis will provide proof of concept as a basis for more in depth research and eventually the creation of a sophisticated application utilizing these techniques for the generation of labeled training data for OCR systems.
Record URI: http://hdl.handle.net/1850/13300
Date: 1997

Files in this item

Files Size Format View
JGreenwaldThesis11-07-1997.pdf 1.004Mb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML

Advanced Search