CAJ | 학술논문

车牌定位是车牌识别系统的关键技术之一.为了快速准确地定位车牌 ,文章提出一种改进的金字塔变换和数学形态学的车牌定位算法.首先通过金字塔变换进行预处理 ,增强图像的细节信息 ,减弱环境和光照等条件变化对车牌定位的影响 ;然后利用图像二值化和数学形态学技术形成包含车牌的若干候选区 ,在此基础上设计了一种"先周边后中心"的车牌提取算法 ;最终准确定位出车牌位置 ,提取出车牌图像.通过对不同地点、不同自然条件下采集的图像进行测试 ,得出定位准确率为99.2% 、平均定位时间为0.309 s ,证明了该车牌定位算法准确可行 ,具有良好的性能.
차패정위시차패식별계통적관건기술지일.위료쾌속준학지정위차패 ,문장제출일충개진적금자탑변환화수학형태학적차패정위산법.수선통과금자탑변환진행예처리 ,증강도상적세절신식 ,감약배경화광조등조건변화대차패정위적영향 ;연후이용도상이치화화수학형태학기술형성포함차패적약간후선구 ,재차기출상설계료일충"선주변후중심"적차패제취산법 ;최종준학정위출차패위치 ,제취출차패도상.통과대불동지점、불동자연조건하채집적도상진행측시 ,득출정위준학솔위99.2% 、평균정위시간위0.309 s ,증명료해차패정위산법준학가행 ,구유량호적성능.
License plate location is one of the key technologies of license plate recognition system .In order to locate the vehicle license plate rapidly and accurately ,a new license plate location algorithm based on improved pyramid transform and mathematical morphology technology is put forward .First , the algorithm of pyramid transform is applied to vehicle image to enhance image detail and reduce the impact of environment and lighting conditions change on the vehicle license plate location .Secondly , the candidate regions of license plate are identified by using image binarization and mathematical mor-phology technique .On this basis ,a new license plate extraction method is designed which first elimi-nates surrounding interference areas and then center interference areas .By the method ,the license plate location is accurately located and the license plate image is extracted eventually .Tests are done on images collected from different places and different natural conditions .The test results show that the success rate of license plate location is 99.2% and the average positioning time is 0.309 s ,thus proving that the proposed method is accurate and feasible for license plate location .