車牌照識別系統(tǒng)設(shè)計與實現(xiàn)畢業(yè)設(shè)計論文-資料下載頁

　　

【正文】 和編譯，分別從圖像預(yù)處理、車牌定位、字符分割以及字符識別等方面進行了分析。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。本文設(shè)計了一個汽車牌照自動識別系統(tǒng)，包括圖像預(yù)處理、車牌定位、字符分割及車牌識別。首先對圖像進行預(yù)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(zhǔn)確的定位了車牌照區(qū)域。最后利用二次水平投影方法對車牌照字符進行了分割。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。石家莊鐵道大學(xué)四方學(xué)院畢業(yè)設(shè)計30參考文獻[1] [J].～6[2] 劉智勇,（LPR）中的圖像提取及分割[J].中文信息學(xué)報，(4):29～34[3] 張禹,馬駟良,韓笑,[J].44 卷第 3 ～410[4] 劉佐濂,鄧榮標(biāo), [J].2022（23 期）9～12[5] [J].～45[6] 韓勇強,[M].微型電腦運用，～65[7] 王枚,[J]. 37卷第 1 ～4[8] 賀興華,周媛媛, 圖像處理[M].人民郵電出版社,～100[9] 龔聲蓉,劉純平,王強. 數(shù)字圖象處理與分析[M]. ～29[10] 劉陽,[J].～68[11] [M].～261[12] —數(shù)學(xué)形態(tài)學(xué)方法及應(yīng)用[M].[13] 袁志偉,[J].(2): 56～60[14] 梁瑋,羅劍鋒,[D]. 2022[15] 羅希平,[J].模式識別與人工智能，(3): 300～312[16] 張興會,劉玲,[J].系統(tǒng)工程與電子技術(shù).(2): 237～239[17] 葉晨洲,楊杰,[J].(34)： 672～675[18] 魏武,黃心漢,中國公路學(xué)報, 2022.(4).8890[19] ， Techniques for Analog And Digitial Ciruits,McGrawHill [20] ANALOG technology of AT89C51[EB/OL].White Paper,石家莊鐵道大學(xué)四方學(xué)院畢業(yè)設(shè)計31致　謝在整個畢業(yè)設(shè)計中,我的指導(dǎo)老師鄭偉副教授給予了我很細心的指導(dǎo),從選題到完成論文,鄭老師都給了我很多中肯的意見,鄭老師又幫我解決了疑難,在關(guān)鍵問題上點撥了我,我向鄭老師表示我最衷心的敬意和感謝。最后謝謝各位同學(xué)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(xué)四方學(xué)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(xué)四方學(xué)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。 Next, want to from containing the plex background plate information segment the license plate area。 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。s installations.2. The license plate identification technique research status:Current license plate recognition system can be widely used in the following fields:(1) the freeway tolling management system: in the expressway toll collection plete license number respectively, and exportIdentify and license plate matching work. The vehicles can be found that the change to the card act, the cashier at frauds,Maintain owner interests。(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。(3) by road vehicle plate recognition technology have been supervised, and to realize the automatic identification and key vehicle... speed alarmProcessi