本文關(guān)鍵詞：針對(duì)大形變?cè)鲋刀惏l(fā)票漢信碼的識(shí)別算法　出處：《吉林大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 增值稅發(fā)票 漢信碼 大形變 生成準(zhǔn)則

【摘要】：進(jìn)入二十一世紀(jì)以來,二維條碼已然成為信息化時(shí)代的新寵,遍布于日常生活的每個(gè)角落,是人們衣食起居不可或缺的重要角色。漢信碼作為二維條碼的代表碼制更廣泛地應(yīng)用于增值稅發(fā)票信息的存儲(chǔ)、傳遞和識(shí)別。糟糕的是,受限于打印機(jī)和掃描儀等硬件設(shè)備的磨損老化問題,以及圖像采集過程中的諸多不可控因素,發(fā)票上漢信碼的圖像質(zhì)量參差不齊,嚴(yán)重影響信息的正確識(shí)別與傳遞。誠(chéng)然傳統(tǒng)的發(fā)票漢信碼的識(shí)別算法思路清晰、易于實(shí)現(xiàn),且對(duì)于圖像質(zhì)量較高的發(fā)票碼圖已經(jīng)達(dá)到令人滿意的識(shí)別率,但它對(duì)于發(fā)生較大不規(guī)則形變的發(fā)票碼圖卻束手無策。而近年來恰恰是此等圖像質(zhì)量較低的發(fā)票于市場(chǎng)中大批量地涌現(xiàn),使得人們逐漸認(rèn)識(shí)到解決大形變的發(fā)票漢信碼的識(shí)別問題已刻不容緩�；诖爽F(xiàn)狀,本文針對(duì)大形變的增值稅發(fā)票漢信碼,提出了一種新的識(shí)別算法。首先,將傳統(tǒng)的識(shí)別流程模塊化,分析影響識(shí)別率的問題所在,并保留其合理模塊;其次,將碼圖大形變分為縱向整體形變與橫向不規(guī)則形變,二者區(qū)別對(duì)待,依次解決。利用灰度圖像進(jìn)行固定信息的跟蹤,利用改進(jìn)的二值圖像進(jìn)行黑白模塊交界的確定。最后,按照抽屜原理的思想制定合理的“生成準(zhǔn)則”,依據(jù)得到的上述圖像數(shù)據(jù),生成對(duì)應(yīng)于原大形變碼圖的標(biāo)準(zhǔn)碼圖,而后直接譯碼即可獲得發(fā)票的真實(shí)信息。為證實(shí)本文算法的優(yōu)勢(shì),特將實(shí)驗(yàn)結(jié)果一并附上。對(duì)于傳統(tǒng)算法只能達(dá)到20%識(shí)別率的大形變發(fā)票,本文算法的識(shí)別率在80%以上。
[Abstract]:Since 21th century, two-dimensional bar code has become the new favorite of the information age, all over the daily life in every corner. Han letter code, as the representative of two-dimensional bar code, is more widely used in the storage, transmission and recognition of VAT invoice information. Limited by the problem of wear and aging of hardware equipment such as printer and scanner, and many uncontrollable factors in the process of image acquisition, the image quality of Han Xin code on invoice is not uniform. It seriously affects the correct identification and transmission of information. It is true that the traditional invoice code recognition algorithm is clear, easy to implement, and the image quality of the invoice code map has reached a satisfactory recognition rate. However, it has no way to deal with the large irregular deformation of invoice codes, and in recent years, the invoices with low image quality are emerging in large quantities in the market. It makes people realize that it is urgent to solve the problem of large deformation invoice code recognition. Based on this situation, this paper proposes a new recognition algorithm for large deformation value added tax invoice and Han letter code. The traditional identification process is modularized to analyze the problems affecting the recognition rate and to retain its reasonable module. Secondly, the large deformation of code map is divided into longitudinal integral deformation and transverse irregular deformation, which are treated differently and solved sequentially. The fixed information is tracked by gray image. Using the improved binary image to determine the boundary of the black and white module. Finally, according to the principle of drawer to formulate a reasonable "generation criteria", according to the above image data. The standard code graph corresponding to the original large deformation code graph is generated, and the true information of the invoice can be obtained by direct decoding. The experimental results are attached. For the large deformation invoice which can only reach the recognition rate of 20%, the recognition rate of this algorithm is more than 80%.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP391.41

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