CAJ | 학술논문

针对复杂背景下的车牌定位，利用目标区域的边缘梯度特性筛选出车牌边缘；选取合适的结构元素做数学形态学填充，得到车牌候选区域；融合车牌灰度纹理特征与颜色特征通过多判定机制剔除伪车牌区域，实现车牌的准确定位；通过实验对大量实拍的复杂背景下的车辆图像进行测试。结果表明，该方法准确率高、速度快，克服了传统算法对拍摄环境、光照条件、颜色、角度等较为敏感的问题，具有良好的定位效果。
침대복잡배경하적차패정위，이용목표구역적변연제도특성사선출차패변연；선취합괄적결구원소주수학형태학전충，득도차패후선구역；융합차패회도문리특정여안색특정통과다판정궤제척제위차패구역，실현차패적준학정위；통과실험대대량실박적복잡배경하적차량도상진행측시。결과표명，해방법준학솔고、속도쾌，극복료전통산법대박섭배경、광조조건、안색、각도등교위민감적문제，구유량호적정위효과。
This paper presents a method of license plate location based on edge features filter and multi-decision mecha-nism under complex backgrounds. The edges of license plate are retained by using the edge features of target region. The candidate regions are acquired by the morphological processing. This paper adopts the multi-decision mechanism which combines the texture features and the color features of license plate to remove the pseudo plate regions. Experimental results of many images under complex backgrounds show that this method is effective and fast, which overcomes the sensitivity to image environment, illumination, color, and shooting angle.