Supervisor: Alan Sexton
Keywords: Final Year Undergraduate Students Only, Document Image Analysis, User Interface Design
Brief Description:
Archaeologists and Historians, in their studies of ancient languages,
manuscripts and writing, often need to do very difficult and
painstaking character recognition of symbols and text. Recently some
illuminated manuscripts from the 11th and 12th century have been
scanned at very high resolution (c.f. http://www.isos.dcu.ie/) and are
available for inspection and processing. While the languages of these
manuscripts may not be known to the students (indeed, in some cases
the interest is to decipher lost languages), computer techniques to
match images, extract common symbols and cluster patterns of images,
together with various image enhancement techniques, could prove very
useful.
I have obtained a large collect of images of manuscripts of the the
Pilgrims Progress. There is significant scientific interest in
determining information about the scribes who wrote them. I believe
that image analysis techniques should be able to find objective
evidence supporting or contradicting commonly held beliefs about the
origin and development of these documents
This project is to develop a collection of tools in a software
toolbox useful for such purposes. It will involve development of
specialist noise reduction, deskewing, binarisation, glyph
extraction, shape clustering and identification algorithms.
Special Equipment: No special equipment requirements
Special Software: No special software requirements
Maintained by A.P.Sexton@cs.bham.ac.uk
Home Page: http//www.cs.bham.ac.uk/~aps
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