Project Proposal: Registering Keyed Text with Handwritten Text in Historical Manuscripts

Supervisor: Alan Sexton

Keywords: Final Year Undergraduate Students Only, Document Image Analysis

Brief Description:

Historical manuscripts contain handwritten text that, in general, is beyond the current ability of handwriting analysis systems to recognise. Hence for many such manuscripts, humans read the manuscripts and key in the corresponding text so that various search tools can index and find the corresponding pages. This is a laborious and errorprone task, not least because checking for errors in the keyed in text requires matching the written text with the keyed in text. This project is to assist in this task by trying to carry out that matching automatically: this is a much easier task than handwriting analysis but would be extremely useful to a large number of researchers in the Humanities. It would be most useful to have this tool as a rich GUI web application, although a desktop application would also be acceptable.

Special Equipment: No special equipment requirements

Special Software: No special software requirements