计算机与数字工程Issue(12)：2271-2274,2294,5.DOI:10.3969/j.issn.1672-9722.2015.12.037
基于最大稳定极值区域的车牌定位与字符分割
License Plate Location and Character Segmentation Based on Maximally Stable Extremal Regions
肖意 1姜军1
作者信息
- 1. 华中科技大学自动化学院 武汉 430074
- 折叠
摘要
Abstract
License plate location and character segmentation are two important steps towards character recognition of vehicle license plate recognition system .In this paper ,an effective algorithm is introduced based on MSER .The algorithm pre‐processes the image and extracts MSER ,then determines a candidate area of license plate by the clustering based on geo ‐metric relation of MSER .After the process ,the license plate area is located by analyzing each candidate area based on Ma ‐chine Learning (ML) and then classifyed into different ranks by number of characters and relation of MSER .The license plate area uses different algorithms of character segmentation for different ranks .The experimental results show that location precision is 99 .07% and character segmentation precision is 97 .9% .关键词
最大稳定极值区域/车牌定位/字符分割Key words
maximally stable extremal regions/license plate location/character segmentation分类
信息技术与安全科学引用本文复制引用
肖意,姜军..基于最大稳定极值区域的车牌定位与字符分割[J].计算机与数字工程,2015,(12):2271-2274,2294,5.
