基于游程特征的选票符号识别方法

选票符号识别是基于图像理解的计票系统的关键技术，为提高选票符号识别的正确率，提出了一种基于游程特征的选票符号识别方法。首先给出了选票符号游程特征的定义，构建了选票符号的游程判定模型；然后利用三叉树结构描述了游程区域之间的相对位置关系；此外，通过游程区域的合并实现了噪声环境下主游程区域的提取，并对歧义符号的处理方法进行了研究；最后，实验结果表明，游程特征能够准确描述选票符号的几何特征，所给出的算法细分能力强，识别正确率高，比基于模板匹配的算法的正确率提高了6.07%。

Recognition approach for ballot symbol based on run features

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.