计算机工程与应用2011，Vol.47Issue(27)：180-184,209,6.DOI:10.3778/j.issn.1002-8331.2011.27.049
车牌识别系统中关键技术的研究
Study of key technology in license plate recognition system
摘要
Abstract
For the defects of the key technology of the existing license plate recognition system,the key technologies of the system are improved.The techniques of license plate location and extraction adopt the method combining the image 2D energy and the HIS color space.Besides, the existing method of energy and image segmentation is improved.For the tilt correction technology,a new method based on the gravity of the density of the binary image is presented, in the recognition technology , a new method is introduced combining the feature extraction and multiply BP neural network learning.Considering the similarity of the characters in the license plate,a two-step neural network is proposed to recognize the characters.Experi-mental results show that the system with the key technology of the license plate recognition system is more of robustness and more of precision.关键词
车牌提取/车牌校正/车牌分割:车牌识别/神经网络:智能交通Key words
license plate extraction/ license plate correction/ license plate segmentation/ license plate recognition/ neural network/ intelligent transportation system分类
信息技术与安全科学引用本文复制引用
李宇成,杨光明,王目树..车牌识别系统中关键技术的研究[J].计算机工程与应用,2011,47(27):180-184,209,6.
