山东科学2012，Vol.25Issue(3)：1-6,6.
基于明暗度分类和改进二分法的车牌字符分割
A brightness classification and improved dichotomy based license plate segmentation algorithm
摘要
Abstract
License plate （LP） segmentation can easily be affected by rim, noise and LP rotation, which causes low segmentation accuracy. We presented a good-robustness segmentation algorithm for the issue. The algorithm performed brightness classification and grayscale enhancement in the preprocessing stage before tilt correction and localization of the upper and lower boundaries. An improved dichotomy, algorithm was then applied to segment LP characters. We implemented precise border localization for characters 1, 2, 6 and 7. Experiment shows that the algorithm has low computational burden and can effectively overcome such negative influences as low contrast, blurness, character adhesion and LP tilt.关键词
明暗度分类/字符分割/改进二分法/分裂与合并/边界精确定位Key words
brightness classification/character segmentation/improved dichotomy/split and merger/border precise localization分类
信息技术与安全科学引用本文复制引用
徐雷,张小宁..基于明暗度分类和改进二分法的车牌字符分割[J].山东科学,2012,25(3):1-6,6.基金项目
国家自然科学基金 （）
