摘要
针对车牌字符分割提出一种基于差分投影与优割字符的车牌字符分割算法.该方法利用水平差分投影图进行倾斜校正和水平切割,使得倾斜校正和水平切割同时进行,在降低算法的复杂度的同时提高了水平定位精确度.然后,结合垂直投影和连通域算法寻找车牌的优割字符,生成滑动的分割模板进行字符的垂直分割,有效地解决了字符粘连、断裂情况下字符识别问题.实验证明该方法分割速度快,分割质量好,对于模糊车牌识别具有自学习品质和很强的抗干扰性能.
A new algorithm for license plate character segmentation based on differencing projection and preferably segmented characters is proposed. The level differencing projection is needed to correct skew character with level segmentation to implement simultaneously, thus reducing the complexity of the algorithm with improved positioning accuracy. Then the preferably segmented characters of a license plate can be found by combining vertical projection with connected domain algorithm to generate the sliding template for vertical segmentation of characters. In this way the problem of recognizing adherent and/or broken characters can be solved efficiently. Experimental results proved that the algorithm proposed has advantages of fast segmentation and preferably segmented characters, and self-learning ability and strong anti- jamming performance to recognize ambiguous characters on license plates.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第7期920-923,共4页
Journal of Northeastern University(Natural Science)
基金
建设部科研基金资助项目(2007-K03-4)
沈阳市科技攻关项目(1053088-4-04)
关键词
字符分割
垂直投影
连通域
优割字符
车牌
character segmentation
vertical projection
connected domain
preferably segmented character
license plate
