The Study Of License Plate Location And Character Segmentation

摘要：

In order to improve the accuracy and precision of license plate location in license plate recognition system. The text introduces a license plate location algorithm with an adaptive threshold, which can achieve the exact location of the license plate based on an improved texture characteristic. The features of character segmentation are in the projection threshold which is able to change according to different images. Finally BP neural network is used to identify each character. Experimental results show that the method can achieve accurate license plate recognition and it has the following advantages such as accurate positioning, robustness and so on.

关键词： texture characteristics license plate location adaptive threshold character segmentation BP neural network

作者: Lang Yao Sun Yanpeng

作者单位: School of Electronics Information Engineering Shenyang Aerospace University Shenyang 110136, China

会议类型: 国际会议

会议名称: 2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

会议地点: 昆明

会议语种:英文

页码: 861-863

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）