计算机工程与应用Issue(17)：182-187,6.DOI:10.3778/j.issn.1002-8331.1410-0108
基于多重特征和SURF算法的车牌定位研究
License plate location algorithm based on multiple features and SURF algorithm
胡峰松 1朱浩2
作者信息
- 1. 湖南大学 信息科学与工程学院，长沙 410082
- 2. 北京师范大学，北京 100875
- 折叠
摘要
Abstract
In order to overcome the problem of slow execution in using SURF algorithm to locate license plate accurately, a novel car license plate location algorithm based on multiple features and SURF algorithm is proposed. The algorithm roughs the candidate region through HSL color space and uses geometric characteristics and textural feature to filter the candidate region and marks the candidate region by the set rules. Then it extracts the label candidate region in order and uses SURF algorithm to locate the plate precisely in this region. The experimental results show that the SURF algorithm has better effect compared with SIFT algorithm in the execute time, and it can meet the needs of the real time.关键词
车牌定位/HSL颜色空间/几何特征/纹理特征/快速鲁棒特征(SURF)算法Key words
license plate location/HSL color space/geometric characteristics/textural feature/Speeded Up Robust Feature (SURF)algorithm分类
信息技术与安全科学引用本文复制引用
胡峰松,朱浩..基于多重特征和SURF算法的车牌定位研究[J].计算机工程与应用,2015,(17):182-187,6.
