Reading ballot papers using computer vision

Dempster, Nerrida (1999). Reading ballot papers using computer vision B.Sc Thesis, School of Computer Science and Electrical Engineering, The University of Queensland.

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Author Dempster, Nerrida
Thesis Title Reading ballot papers using computer vision
School, Centre or Institute School of Computer Science and Electrical Engineering
Institution The University of Queensland
Publication date 1999
Thesis type B.Sc Thesis
Supervisor Dr Ponnuthurai Suganthan
Total pages 54
Language eng
Subjects 0906 Electrical and Electronic Engineering
Formatted abstract

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 potentially 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 fulfills 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.

Keyword Reading ballot papers
Computer vision
Additional Notes * 4th year electrical engineering theses and information technology abstracts. 1999

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Tue, 21 May 2013, 09:54:23 EST by Mr Yun Xiao on behalf of Scholarly Communication and Digitisation Service