【正文】 (2) the highway speeding automation supervision system: it with license plate identification technology as the core technology, auxiliaryOther hightech means, build highway speeding unattended automatic monitoring, automatic have been supervised system isSolve highway trapped speeding is the effective means to cause traffic accident。 Then on license character recognition former pretreatment, feature extraction and recognition.When vehicles, vehicle detection device through by trigger, start image acquisition equipment acquisition vehicle positively or negatively image, and will be handed to the puter, the image license plate location module extract, sungi1 module on the character of license plate character recognition, and finally by segmentation module character recognition and will identify results sent to the monitoring center or cashier39。最后謝謝各位同學和朋友們在編寫程序上給予我的大力幫助！石家莊鐵道大學四方學院畢業(yè)設(shè)計32附　錄附錄 A　外文資料Car license plates recognition systemAlong with the increase in the number of countries around the world, city car traffic increasingly attention on how to effectively L traffic management, has bee more and more governments and the relevant departments have the focus. To solve this problem, we use the advanced science and technology, we have developed the developed various traffic surveillance, management system, these systems are usually include vehicle detection device, through these devices on passing vehicles conduct test on traffic data extraction, in order to achieve monitoring, management and directing traffic purpose car licence plate recognition technology is one of the important vehicle detection system in traffic link monitoring and control, play an important role, has a wide variety of applications, such as automatic charge system, no parking capture to expend, stolen vehicle searches, parking lot vehicle management, special department vehicle access control, etc. Meanwhile, car licence plate recognition method can also be used to other detection and identification field so car licence to identify the problem has bee a modern traffic engineering field research hotspot and focus of one problem.Car license plates recognition system is for specific goals licence plates special puter vision system, is the puter vision and pattern recognition technology application in intelligent transportation one of the major issues, it can be used widely in the traffic flow testing, traffic control and induction, airports, ports, the vehicle management, no parking fee, running red lights automatic monitoring peccancy vehicles and vehicle safety guard against theft and other fields, and has a broad application prospect. Car license plates recognition system is an important part in intelligent transportation system, is a hitech highway traffic monitoring management system one of the main functional modules. It in traditional traffic monitoring technology is introduced on the basis of digital camera, technology and puter information management technology, USES the advanced image processing, pattern recognition and artificial intelligence technology, through to the vehicle image collection and processing of the digital information, obtain vehicles, so as to achieve 石家莊鐵道大學四方學院畢業(yè)設(shè)計33higher intelligent management level. This system is the tsinghua university electrical engineering department, intelligent graphic information processing laboratory research and developed, it utilizes the only vehicle license plate is marking the identity to intelligent identification and ideological concepts, involving the statistical vehicle image capture, processing, understanding and recording techniques.1. The system working principle:A plete license plate identification process generally includes the following three main steps: first, through the camera will contain car licence information car image filmed, converted to digital image, the deposit in the puter used to deal with, and some necessary pretreatment work。本系統(tǒng)只適合藍底白字的車牌照，對其他的車牌照沒有設(shè)計到，因此也有具有一定的局限性，由于沒有實際拍攝照片所以網(wǎng)絡(luò)照片分割有誤差，有待以后改進，另外由于樣本庫沒有建立成功，因此未完成車牌的識別功能，有待進一步的研究。首先對圖像進行預處理，將彩色圖像轉(zhuǎn)化為灰度圖像，然后對灰度圖像采用基于灰度跳變的方法進行二值化處理，提取車牌照邊緣信息，既保留了車牌區(qū)域的信息，又減少了噪聲的干擾，提高了后續(xù)處理的速度；然后運用基于藍色象素點統(tǒng)計特性的方法對車牌是藍色的車牌進行定位，結(jié)果表明準確的定位了車牌照區(qū)域。本文開始整理和總結(jié)了國內(nèi)外在車牌定位、分割、字符識別方面的研究成果和發(fā)展方向，系統(tǒng)的介紹了我國車牌的固有特征，以及車牌識別的特點等內(nèi)容。　自動識別用模板庫中的字符圖像矩陣與待識字符圖像矩陣作減法，求最小誤差，即其相似度，將最相似的模板庫中的字符圖像矩陣的代碼作為識別結(jié)果，并顯示出來。神經(jīng)網(wǎng)絡(luò)訓練的缺點是可能會需要很長的時間，不過訓練好的網(wǎng)絡(luò)可以方便的用于識別。（3）　神經(jīng)網(wǎng)絡(luò)識別方法此方法是利用神經(jīng)網(wǎng)絡(luò)的機制來提取字符中存在的特征。在對車牌中的漢字識別中，由于它的漢字只有有限的幾個，可以考慮構(gòu)建標準字庫來進行模板匹配。　字符識別方法簡介（1）　模板匹配法這個方法是把輸入的字符直接和標準的字符原型進行比較，找到與之最匹配的模板。近來，模式識別中也應用了模糊數(shù)學的方法，取得良好效果，神經(jīng)網(wǎng)絡(luò)作為一種有力的工具，在模式識別中得到越來越多的應用。按識別對象，文字識別分為西文字符，阿拉伯叔祖和漢字識別等，它們由可分為印刷體和手寫體的識別，手寫體字符的字體、大小千變?nèi)f化因此此印刷體識別困難得多。石家莊鐵道大學四方學院畢業(yè)設(shè)計27第 5章　汽車牌照字符識別字符識別屬于模式識別的范疇，是迄今為止模式識別領(lǐng)域中發(fā)展最成熟并得到最廣泛應用的一個方面。所謂大小歸一化，就是對不同大小的字符做變換，使之成為同一尺寸大小的字符。所謂位置歸一化，是為了消除字符點陣位置上的偏差而將整個字符點陣圖形移動到規(guī)定的位置上的過程。分割出來的結(jié)果如圖 46 所示：圖 46　識別結(jié)果石家莊鐵道大學四方學院畢業(yè)設(shè)計26為了使下一步的字符識別順利進行，識別前要對單個字符歸一化，以保證每個不同的字符識別時都有一致的標準輸入。 l=l+1。)。,39。,int2str(maxwidth)],39。 if l==7 title([39。 SegBw2 = imresize(SegBw1,[32 16])。 SegGray=subcol(rowtop:rowbot,cleft:cright)。for k=findmax1:findmax+5 cleft=markcol5(k)maxwidth/2。 %查找最大值，即為最大字符寬度　提取分割字符通過以上水平投影、垂直投影分析計算，獲得了車牌字符高度、字符頂行與尾行、字符寬度、每個字符的中心位置，為提取分割字符具備了條件。markcol6(findmax)=0。 %字符中心距離（字符中心點至下一個字符中心點）maxs=max(markcol6)。 %字符寬度（上升點至下降點） markcol5(k)=markcol3(k)double(uint16(markcol4(k)/2))。for k=1:n1 markcol3(k)=markcol(k+1)markcol1(k+1)。markcol2(n1)=markcol(l)markcol(l1)。markcol(l)=width。 %字符距離（上升點至下一個上升點）[m1,n1]=size(markcol2)。 end count1=0。 %字符上升點 markcol1(l)=count1。for k=1:width if histcol(k)=levelcol 石家莊鐵道大學四方學院畢業(yè)設(shè)計24 count1=count1+1。count1=0。mincol=mi