计算机应用与软件2015，Vol.32Issue(5)：203-206,4.DOI:10.3969/j.issn.1000-386x.2015.05.049
基于评分模型的车牌字符识别方法
RECOGNITION METHOD FOR LICENSE PLATE CHARACTERS BASED ON SCORING MODEL
莫林 1凌文彪 1张福元 1孙学彬1
作者信息
- 1. 广西大学计算机与电子信息学院 广西 南宁530004
- 折叠
摘要
Abstract
With the wide application of camera nowadays, the license plate recognition algorithm used in monitoring video attracts more and more attentions.The images of license plate character cutting from monitoring video usually have defects such as low pixel, blurring, serious character confusion or jagged edge.Traditional license plate character recognition algorithm has low recognition rate on the plate characters of such type.In light of this, we propose a scoring model-based recognition method for license plate characters.The algorithm divides the character image into a couple of grids, and all the grids are then divided into different grades according to the number of the white points in them, and the grades of standard character templates are so divided as well.When recognising and matching, the character images to be recognised will be carried out the grade matching with the grids corresponding to character template separately, and will be marked the correlated scores in accordance with the scoring model in the algorithm, including score gain, decrease or zero, and at last the scores are added up, the character template with highest score derived from matching will be the final recognition result.Experimental results have verified the effectiveness of the algorithm.关键词
车牌/字符识别/评分模型Key words
License plate/Character recognition/Scoring model分类
信息技术与安全科学引用本文复制引用
莫林,凌文彪,张福元,孙学彬..基于评分模型的车牌字符识别方法[J].计算机应用与软件,2015,32(5):203-206,4.
