计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
10期
157-160
,共4页
车牌识别%字符分割%条件随机场
車牌識彆%字符分割%條件隨機場
차패식별%자부분할%조건수궤장
License plate recognition%Character segmentation%Conditional random fields
提出一种基于条件随机场的车牌字符分割算法,能够对光照不均、相机拍摄角度造成的低图像质量的车牌图像,特别是日益增多的车牌边框与字符相连接车牌图像进行有效的字符分割。算法首先进行车牌图像校正,然后利用标注车牌数据进行模型学习,对车牌图像像素列进行分类识别,最后组合成车牌字符分割结果。理论分析与实验结果验证了算法的有效性。
提齣一種基于條件隨機場的車牌字符分割算法,能夠對光照不均、相機拍攝角度造成的低圖像質量的車牌圖像,特彆是日益增多的車牌邊框與字符相連接車牌圖像進行有效的字符分割。算法首先進行車牌圖像校正,然後利用標註車牌數據進行模型學習,對車牌圖像像素列進行分類識彆,最後組閤成車牌字符分割結果。理論分析與實驗結果驗證瞭算法的有效性。
제출일충기우조건수궤장적차패자부분할산법,능구대광조불균、상궤박섭각도조성적저도상질량적차패도상,특별시일익증다적차패변광여자부상련접차패도상진행유효적자부분할。산법수선진행차패도상교정,연후이용표주차패수거진행모형학습,대차패도상상소렬진행분류식별,최후조합성차패자부분할결과。이론분석여실험결과험증료산법적유효성。
This paper proposes a conditional random fields-based character segmentation method,it can make effective characters segmentation for the license plate image with low image quality caused by uneven light and shooting angle of camera,etc.,in particular,for those increasingly growing license plates images whose plate characters are connected with plate borders.First,the correction of license plate image is conducted,and then the labelled plate data are used to train the model for the classification and identification of the pixel columns in license plate image,finally the segmentation results of the license plate characters are combined.Theoretical analysis and experimental results all verify the effectiveness of the algorithm.