DocumentCode :
2484162
Title :
Ballot mark detection
Author :
Smith, Elisa H Barney ; Lopresti, Daniel ; Nagy, George
Author_Institution :
Boise State Univ., Boise, ID
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Optical mark sensing, i.e., detecting whether a ldquobubblerdquo has been filled in, may seem straightforward. However, on US election ballots the shape, intensity, size and position of the marks, while specified, are highly variable due to a diverse electorate. The ballots may be produced and scanned by poorly maintained equipment. Yet near-perfect results are required. To improve the current technology, which has been subject to criticism, components of a process for identifying marks on an optical sense ballot are evaluated. When marked synthetic ballots are compared to an unmarked ballot, the absolute difference of adaptive thresholded images gives best detection rates for all darknesses of marks, but at a false alarm rate increase. Simple absolute differencing can give good detection results with lower false alarm rates.
Keywords :
government data processing; image colour analysis; image segmentation; object detection; politics; US election ballot; adaptive thresholded image; ballot mark detection; mark color detection; mark darkness detection; marked synthetic ballot; optical mark sensing; Cities and towns; Councils; Counting circuits; Displays; Law; Machinery; Nominations and elections; Optical sensors; Shape; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761549
Filename :
4761549
Link To Document :
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