本文選題：漢字識(shí)別 + 字符識(shí)別��； 參考：《合肥工業(yè)大學(xué)》2017年碩士論文

【摘要】：近年來(lái),我國(guó)快遞服務(wù)業(yè)高速發(fā)展,信息化水平不斷提高,大量的基于條形碼和二維碼的包裹自動(dòng)分揀系統(tǒng)開始應(yīng)用到分揀過(guò)程中。然而,快遞分揀現(xiàn)場(chǎng)環(huán)境復(fù)雜,條碼污損的情況時(shí)有發(fā)生。針對(duì)條碼無(wú)法讀取的包裹,快遞公司通常采用人工識(shí)別收發(fā)地址字符的方式實(shí)現(xiàn)分揀,成本較高且效率低下�；趫D像處理的漢字識(shí)別技術(shù)具有速度快,成本低,自動(dòng)化程度高等優(yōu)勢(shì),在快遞郵包分揀系統(tǒng)中擁有廣闊的應(yīng)用前景。論文首先介紹了分揀系統(tǒng)的整體架構(gòu)和工作原理,硬件平臺(tái)的設(shè)計(jì)和選型,并簡(jiǎn)要敘述了軟件平臺(tái)的設(shè)計(jì)。接著根據(jù)快遞單圖像的高亮度特征,使用多閾值大津法、形態(tài)學(xué)操作和連通域篩選得到快遞單位置,并利用條碼區(qū)域的高對(duì)比度特征設(shè)計(jì)了補(bǔ)充定位方案。然后通過(guò)霍夫變換對(duì)圖像角度進(jìn)行了修正,在多次分析投影波形后找到字符位置,并對(duì)字符圖像進(jìn)行了拆分和歸一化。在字符識(shí)別階段,首先敘述了樣本字符數(shù)據(jù)庫(kù)的制作過(guò)程,然后利用像素網(wǎng)格特征和梯度方向網(wǎng)格特征對(duì)字符圖像進(jìn)行特征提取,最后通過(guò)標(biāo)準(zhǔn)歐式距離分類器實(shí)現(xiàn)了字符的識(shí)別。論文最后展示了郵包分揀系統(tǒng)硬件環(huán)境搭建結(jié)果和軟件平臺(tái)開發(fā)結(jié)果,并用大量的包裹進(jìn)行了驗(yàn)證。實(shí)驗(yàn)結(jié)果表明本系統(tǒng)字符識(shí)別準(zhǔn)確率達(dá)到99.76%,包裹分揀準(zhǔn)確率達(dá)到98.35%,圖像處理耗時(shí)約為0.5秒,滿足快遞包裹分揀環(huán)節(jié)的要求。使用本套系統(tǒng),可以降低人力成本,提高分揀效率,或和條碼識(shí)別技術(shù)結(jié)合,提高分揀系統(tǒng)的冗余性。
[Abstract]:In recent years, with the rapid development of express service industry in China, the level of information has been improved, a large number of parcels automatic sorting system based on bar code and two-dimensional code began to be applied to the sorting process. However, the scene of express sorting complex environment, bar code fouling occurred from time to time. For parcels that can not be read by barcode, express delivery companies usually use manual identification to send and receive address characters to achieve sorting, which is costly and inefficient. The Chinese character recognition technology based on image processing has the advantages of high speed, low cost and high degree of automation, so it has a broad application prospect in the express mail packet sorting system. This paper first introduces the whole structure and working principle of sorting system, the design and selection of hardware platform, and briefly describes the design of software platform. Then according to the high luminance feature of express single image, we use the method of multi-threshold, morphological operation and connected domain screening to get the single location of express delivery, and use the high contrast feature of bar code region to design a supplementary location scheme. Then the angle of the image is modified by Hough transform, and the character position is found after analyzing the projection waveform many times, and the character image is split and normalized. At the stage of character recognition, the process of making sample character database is described, and then the feature extraction of character image is carried out by using pixel grid feature and gradient direction grid feature. Finally, the character recognition is realized by the standard Euclidean distance classifier. At the end of the paper, the results of hardware environment and software platform development of packet sorting system are presented and verified by a large number of parcels. The experimental results show that the accuracy of character recognition is 99.76 and the accuracy of package sorting is 98.355.The processing time of image is about 0.5 seconds, which meets the requirements of the sorting link of express package. The system can reduce the labor cost, improve the sorting efficiency, or combine with the bar code recognition technology to improve the redundancy of the sorting system.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F259.2;TP391.4

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本文編號(hào)：2023088