CAJ | 학술논문

为了提高对车牌字符的准确识别能力，提出了一种基于权系数标识符矩阵的模板匹配车牌字符识别方法。具体方法是在进行字符识别前为每一个车牌字符制定一个标准化的模板，再将每一个模板字符的像素依据像素区域、像素边缘区域和非像素及非像素边缘区域等标记成不同的区域，并依此为基准生成一个模板矩阵。根据车牌字符闭合区域个数及字符二值图像中间行、中间列黑白跳变次数，可将字符分为10类。进行字符识别时，首先判定待识别字符属于哪一类，然后与所在类的每一个字符的标准模板进行匹配，统计待识别字符落在每一个标准模板矩阵的不同区域的像素数，并根据不同区域的不同权值计算相似度值，相似度值最大的即为识别结果。该方法采用两级分类法对车牌字符图像进行分类，再采用基于权系数标识符矩阵的模板匹配法对车牌字符进行识别。实验结果表明，该方法提高了识别结果的准确度，对于存在字符断裂以及形状相似而容易混淆的字符有较好的识别效果。
위료제고대차패자부적준학식별능력，제출료일충기우권계수표식부구진적모판필배차패자부식별방법。구체방법시재진행자부식별전위매일개차패자부제정일개표준화적모판，재장매일개모판자부적상소의거상소구역、상소변연구역화비상소급비상소변연구역등표기성불동적구역，병의차위기준생성일개모판구진。근거차패자부폐합구역개수급자부이치도상중간행、중간렬흑백도변차수，가장자부분위10류。진행자부식별시，수선판정대식별자부속우나일류，연후여소재류적매일개자부적표준모판진행필배，통계대식별자부락재매일개표준모판구진적불동구역적상소수，병근거불동구역적불동권치계산상사도치，상사도치최대적즉위식별결과。해방법채용량급분류법대차패자부도상진행분류，재채용기우권계수표식부구진적모판필배법대차패자부진행식별。실험결과표명，해방법제고료식별결과적준학도，대우존재자부단렬이급형상상사이용역혼효적자부유교호적식별효과。
In order to improve the accuracy of license plate recognition,a license plate character recognition method matching with a template based on weight coefficient identifier matrix is proposed. The specific method is to develop a standardized tem-plate for each license plate character before character recognition. Each standard template character is divided into three parts:pixel area,pixel edge region,non pixel and non-pixel edge region,which is taken as a criterion to generate a template matrix. According to the black-to-white jump times of number and character binary image in the middle row and middle line,the quanti-ty of pixles which drops down on different areas of each standardized template matrix from characters under recognition is count-ed. The similarity value depends on the weights on the area is calculated. The maximum value is the recognition result. The method adopts secondary classification and is based on weight coefficient identifier matrix. The experiment results indicate that the algorithm is able to improve the accuracy of recognition result and has better recognition effect for the characters in which the fractures and shape similarity characters exist.