A Rapid Vote-Counting System Based on Image Understanding

Gang Xiao; Jing Jing Zhang; Yuan Ming Zhang; Jia Wei Lu; Zhi Ye

doi:10.4028/www.scientific.net/AMR.490-495.76

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495A Rapid Vote-Counting System Based on Image...

A Rapid Vote-Counting System Based on Image Understanding

Abstract:

This paper proposes a system, which can rapidly count votes in traditional elections based on image understanding. Firstly, the system gets ballot images through high-speed scanner and preprocesses the images. Then, it recognizes the geometric structure and layout of ballot image through detecting table lines. In addition, it also recognizes the logical structure of ballot image through analyzing the relative positions of candidates and vote symbols. Thirdly, it locates candidates and symbols on the ballot table, and recognizes the specific symbols based on run features. The system has been implemented, which shows high counting speed, high recognition accuracy with wide applicability.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

76-80

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.76

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Online since:

March 2012

Authors:

Gang Xiao, Jing Jing Zhang, Yuan Ming Zhang, Jia Wei Lu, Zhi Ye

Keywords:

Image Understanding, Symbol Recognition, Vote-Counting System

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References

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