CAJ | 학술논문

车牌定位是车牌自动识别系统中的一项关键技术，也是所有工作的前提和基础。目前虽然有一些车牌定位方法，但都存在识别精度不够准确的缺陷。为了提高车牌定位的精度，充分利用车牌自身的有用信息，在借鉴前人研究成果的基础上提出了一种基于小波变换和支持向量机的车牌定位方法。首先利用小波变换将图像中的竖直纹理特征提取出来，再利用数学形态学进行操作得到候选车牌区域，最后利用车牌的综合特征和支持向量机实现车牌的精确定位。实验结果表明该方法在背景复杂的情况下具有很好的效果。
차패정위시차패자동식별계통중적일항관건기술，야시소유공작적전제화기출。목전수연유일사차패정위방법，단도존재식별정도불구준학적결함。위료제고차패정위적정도，충분이용차패자신적유용신식，재차감전인연구성과적기출상제출료일충기우소파변환화지지향량궤적차패정위방법。수선이용소파변환장도상중적수직문리특정제취출래，재이용수학형태학진행조작득도후선차패구역，최후이용차패적종합특정화지지향량궤실현차패적정학정위。실험결과표명해방법재배경복잡적정황하구유흔호적효과。
The vehicle license plate location is one of the key technologies in the license plate intelligent recognition system and it is nec-essary for the other work. Though there has some license plate location methods,the deficiency is low recognition accuracy. To improve the location level,a new method is proposed based on wavelet transform and support vector machines on the basis of previous research, fully applying the useful information of license plate. It has made use of wavelet transform to extract the vertical texture features. And then obtain the candidate plate location areas by using the mathematical morphology. Finally, the precise license plate location is located through support vector machine based on the license plate comprehensive feature. Experimental results indicate the algorithm is efficient and effective.