（北京理工大學光電學院光電成像技術與系統教育部重點實驗室,北京100081）
摘要：車牌識別系統作為智能交通管理系統(ITS)中不可缺少的重要組成部分已得到廣泛應用。目前的車牌識別算法正在逐步趨于成熟但還是有很多地方有待改進�；谲嚺谱R別的原理，本文在車牌圖像預處理以及模式識別兩個關鍵部分提出了一些新的算法，加入了傾斜校正的處理過程，不僅降低了車牌圖像的質量要求，而且提高了識別精度。在改進算法的基礎上，利用OpenCV結合MFC進行了該算法的軟件實現，并利用該軟件處理了一系列的車牌圖片取得了不錯的識別結果。
關鍵字：車牌識別；圖像預處理；傾斜校正；OpenCV；模式識別；
Design OfAdvanced License Plate Recognition Algorithm
YUYue, YU Hong-Tao,GU Mei-Xia
(Key Laboratory of Photo electronic Imaging Technology and System of theMinistry of Education of China, School of Optics and Electronics,Beijing Institute of Technology, Beijing 100081,China)
Abstract：License plate recognition system has been widely usedas intelligent traffic system (ITS) the indispensable important constituent part.The license plate recognition algorithm is mature but there are still many places needs to be improved.Based on the principle of license plate recognition, this paperputs forward some new algorithm in the license plate image preprocessing and pattern recognition, includingthe tilt correction processing.Not only reduce the license plate image quality requirements, improve the recognition accuracy, but also improve the recognition accuracy. On the basis of improved algorithm, this paper, by using OpenCV and MFC to complete the algorithm, and using this software to process a series of license plate images has made great identification results.
Key words：License plate recognition;Image preprocessing; Tilt correction; OpenCV; Pattern recognition;
參考文獻
[1]劉鵑梅,劉澤平. 基于圖像處理的車牌識別系統的研究[J]. Computer Knowledge and Technology,Vol.6,No.8,March 2010,pp.1961-1962.
[2]王曉雪,蘇杏麗. 數字圖像處理在車牌識別中的應用[J]. 上海交通大學航空航天學院1、上海工業自動化儀表研究院2.
[3]趙啟升,李存華. 基于VC++的車牌識別系統關鍵技術研究[J]. 計算機科學,2006,Vol.33,No.12.
[4] E.R.Lee,P.K.Kim,H.J.Kiu. Atomatic recognition of a car license plate using color image processing[A].Pros of International Conference on Image Processing(ICIP94)C1994,12:301-305.
[5]Da Rocha GesualdiA,De Albuquerque M P.MARCELO P0RTESDEALBUQUERQUE.Recognition of characters in plates of private razilian vehicles using neural networks [J].IEEE,2000.
[6]劉智勇,劉迎建. 車牌識別(LPR)中的圖像提取及分割[J].中文信息學報,2000,14(4)29-35.
[7]秦鐘,徐建閩等. 基于字符角點信息的車牌定位方法[J].華南理工大學學報,自然科學版,2006,34(4):19-23.
[9]梁瑋,羅劍鋒. 一種復雜背景下的多車牌圖像分割與識別方法[J]. 北京理工大學學報,2003,23(1):91-94.
第一作者簡介：
于躍(1988-)，男，內蒙古人，碩士研究生，主要從事衍射光學、圖像處理等方面的研究，在全息光學設計，投影拼接等領域有較深的造詣
