基于QR碼的車牌識別系統(tǒng)探索性研究
發(fā)布時間：2018-08-14 11:45
【摘要】：智能交通系統(tǒng)是我國未來交通運輸發(fā)展規(guī)劃的重要方向，車輛牌照作為車輛身份的重要標(biāo)識和證明，利用計算機對其進行高速快速的識別一直是智能交通系統(tǒng)中的一項重要技術(shù)車牌識別在車輛管理保障交通運輸安全和維護社會治安減緩交通擁堵，實現(xiàn)交通管理的現(xiàn)代化和自動化有著現(xiàn)實意義隨著經(jīng)濟和社會的蓬勃發(fā)展，機動車輛的保有量迅速增長，對交通控制管理收費系統(tǒng)的要求也日益提高，因此采用更高效更智能的車牌識別技術(shù)是實現(xiàn)交通管理的安全智能化的主要發(fā)展方向 當(dāng)前有很多的研究機構(gòu)都積極投入到了車牌識別技術(shù)的研發(fā)中，但其框架都是采用的目前車牌識別系統(tǒng)所共有的經(jīng)典四步法：圖像采集車牌定位字符分割字符識別現(xiàn)行依據(jù)四步法投入到實際應(yīng)用的車牌識別系統(tǒng)在功耗識別速度和識別率等方面仍然存在不足 二維碼作為條碼技術(shù)中的一種，，具有編碼密集存儲信息量大糾錯能力高容錯好編碼范圍廣譯碼識別率高等優(yōu)點，已在多個領(lǐng)域得到了廣泛應(yīng)用，但是在車牌識別領(lǐng)域的應(yīng)用國內(nèi)還沒有展開相關(guān)的研究本文首先通過分析現(xiàn)行車牌識別系統(tǒng)，驗證了其不足之處；其次闡明了二維碼的概念發(fā)展歷程以及分類，重點對QR（QuickResponse）二維碼的編碼以及解碼過程進行分析；接著本文針對現(xiàn)行車牌識別方法存在的各種問題并結(jié)合二維碼的優(yōu)點，提出了一種探索性的研究：即二維碼與傳統(tǒng)車牌識別相結(jié)合的車牌識別方法，并設(shè)計出了帶有二維碼的新型車牌；最后通過試驗驗證了新型車牌與其識別系統(tǒng)的有效性，達到了預(yù)期設(shè)計效果，實現(xiàn)了利用二維碼技術(shù)實現(xiàn)車牌識別的新途徑
[Abstract]:Intelligent Transportation system (its) is an important direction of transportation development planning in our country in the future. Vehicle license plate is an important sign and proof of vehicle identity. It is an important technology in Intelligent Transportation system (its) to use computer to identify its high speed and fast. License plate recognition is an important technology in vehicle management to ensure traffic safety and maintain public order to reduce traffic congestion. With the rapid development of economy and society, the number of motor vehicles has increased rapidly, and the requirement of traffic control management charge system is also increasing day by day. Therefore, the adoption of more efficient and intelligent license plate recognition technology is the main development direction of realizing the safety and intelligence of traffic management. At present, many research institutions are actively engaged in the research and development of license plate recognition technology. But its frame is the classic four-step method common to the current license plate recognition system: image acquisition, license plate location, character segmentation, character recognition, which is based on the four-step method, is applied to the practical application of the license plate recognition system at the speed of power consumption recognition. There are still some shortcomings in the fields of degree and recognition rate, such as two-dimensional code as one of barcode technology, It has been widely used in many fields because it has the advantages of large amount of coding and dense storage information, high error tolerance, good coding range, wide decoding and recognition rate, and so on. But the application in the field of license plate recognition has not been carried out in China. Firstly, by analyzing the current license plate recognition system, this paper verifies its shortcomings; secondly, it clarifies the concept development course and classification of two-dimensional code. This paper focuses on the analysis of the encoding and decoding process of QR (QuickResponse) two-dimensional code. Then, aiming at the various problems existing in the current license plate recognition method and combining the advantages of the two-dimensional code, In this paper, an exploratory study is put forward, that is, a new license plate with two dimensional code is designed, and the validity of the new license plate and its recognition system is verified by experiments. The expected design effect is achieved, and a new way to realize license plate recognition using two-dimensional code technology is realized.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495
本文編號：2182759
[Abstract]:Intelligent Transportation system (its) is an important direction of transportation development planning in our country in the future. Vehicle license plate is an important sign and proof of vehicle identity. It is an important technology in Intelligent Transportation system (its) to use computer to identify its high speed and fast. License plate recognition is an important technology in vehicle management to ensure traffic safety and maintain public order to reduce traffic congestion. With the rapid development of economy and society, the number of motor vehicles has increased rapidly, and the requirement of traffic control management charge system is also increasing day by day. Therefore, the adoption of more efficient and intelligent license plate recognition technology is the main development direction of realizing the safety and intelligence of traffic management. At present, many research institutions are actively engaged in the research and development of license plate recognition technology. But its frame is the classic four-step method common to the current license plate recognition system: image acquisition, license plate location, character segmentation, character recognition, which is based on the four-step method, is applied to the practical application of the license plate recognition system at the speed of power consumption recognition. There are still some shortcomings in the fields of degree and recognition rate, such as two-dimensional code as one of barcode technology, It has been widely used in many fields because it has the advantages of large amount of coding and dense storage information, high error tolerance, good coding range, wide decoding and recognition rate, and so on. But the application in the field of license plate recognition has not been carried out in China. Firstly, by analyzing the current license plate recognition system, this paper verifies its shortcomings; secondly, it clarifies the concept development course and classification of two-dimensional code. This paper focuses on the analysis of the encoding and decoding process of QR (QuickResponse) two-dimensional code. Then, aiming at the various problems existing in the current license plate recognition method and combining the advantages of the two-dimensional code, In this paper, an exploratory study is put forward, that is, a new license plate with two dimensional code is designed, and the validity of the new license plate and its recognition system is verified by experiments. The expected design effect is achieved, and a new way to realize license plate recognition using two-dimensional code technology is realized.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495
【參考文獻】
相關(guān)期刊論文 前10條
1 劉悅,劉明業(yè);QR code二維條碼數(shù)據(jù)編碼的研究[J];北京理工大學(xué)學(xué)報;2005年04期
2 貢麗霞;白艷萍;;Radon變換在傾斜車牌圖像校正中的應(yīng)用[J];測試技術(shù)學(xué)報;2009年05期
3 張飛俠;;基于綜合特征的車牌分割算法[J];電腦知識與技術(shù);2008年20期
4 陳利;;車牌識別系統(tǒng)中的字符分割技術(shù)研究[J];電腦知識與技術(shù);2008年34期
5 黃金;李小武;虞力英;;二維條碼在機動車號牌防偽中的應(yīng)用研究[J];中國公共安全(學(xué)術(shù)版);2013年02期
6 陳二陽;雷霖;;QR條碼圖像識別及解碼技術(shù)的實現(xiàn)[J];電視技術(shù);2013年07期
7 王政;江麗莎;湯谷云;羅漣玲;;基于彩色像素統(tǒng)計與新型模板匹配的車牌識別系統(tǒng)[J];廣西物理;2013年01期
8 徐麗芳;蔣雪瑤;;美國雜志中二維碼的應(yīng)用[J];出版參考;2012年36期
9 舒彤;舒田華;余香梅;;基于粗糙集的車牌字符特征提取方法探討[J];九江學(xué)院學(xué)報;2008年06期
10 何兆成;佘錫偉;余文進;楊文臣;;字符多特征提取方法及其在車牌識別中的應(yīng)用[J];計算機工程與應(yīng)用;2011年23期
本文編號：2182759
本文鏈接：http://sikaile.net/kejilunwen/jiaotonggongchenglunwen/2182759.html
教材專著
