Recognition approach for ballot symbol based on run features
Jun Xu · Journal of Computer Applications · 2012
Recognition of hand-written ballot symbols is crucial in vote-counting system based on image understanding.To improve the accuracy of ballot symbol recognition,a symbol recognition approach based on run feature was proposed.Firstly,the concept of run was presented and a discriminant model was established based on run features of ballot symbols.Secondly,the relative positions of runs were described with a ternary tree.In addition,the main run regions were extracted in noisy environment by merging run regions,and an approach of recognizing ambiguous symbols was also given.Finally,the experimental results show that the run features can accurately reflect the geometrical features of ballot symbols.The proposed approach achieves high accuracy,and its accuracy is 6.07% higher than that of template matching algorithm.