Election System Based on Prior Knowledge
Guo Dong Wu, Zheng Yi Liu · Advanced materials research · 2014
In order to optimize the election system, we present a vote counting system based on prior knowledge, which makes the ballot style more flexible. The system processes votes by using prior knowledge presetted after obtaining images from the scanner. And it can effectively determine ballots’ side to solve the problem of direction uncertainty. The speed of processing each ballot is improved so the problem of limited efficiency can be solved. In addition, the system identifies the position of each option on the ballot to solve the multiple options problems. Experimental results show that the method of the system development is reasonable, effective, and it has high practical value.