Department of Computer Science and Electrical Engineering
Currently in Australia information from electoral ballot papers is obtained by individuals who sort and count each paper by hand, and then type this handwritten information into a computer system. The process is laboriously slow, expensive, and po tentially erroneous.
A system that optically scans and interprets handwritten data on ballot papers, and inputs the information directly into the existing computer system would save time and money, and increase its accuracy. Software for a scanning device that fulfill s this aim has been developed.
Full integration with the Australian Electoral Commission's computer system is required, along with further developments in scanning hardware before this system can become operational. At that time, a fully automated ballot-reading system that is accurate, reliable and has a fast processing time will be possible.
Complete thesis:
Thesis.pdf
Additional material:
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images
Conference paper:
ConfPaper.pdf