粘連字符驗(yàn)證碼的識(shí)別研究
發(fā)布時(shí)間：2018-10-05 19:05
【摘要】：二十一世紀(jì)是信息爆炸的時(shí)代,互聯(lián)網(wǎng)技術(shù)高速發(fā)展,給人們生活帶來了極大的便利,同時(shí)各類網(wǎng)絡(luò)資源濫用問題也引起了研究者的高度重視。驗(yàn)證碼機(jī)制應(yīng)運(yùn)而生,被運(yùn)用到各大網(wǎng)站中,用以防止資源被計(jì)算機(jī)程序惡意占用以及保護(hù)信息的隱私性。對(duì)驗(yàn)證碼的識(shí)別研究,不僅可以找出驗(yàn)證碼設(shè)計(jì)的漏洞來防止程序的自動(dòng)攻擊,也在無形中推動(dòng)了數(shù)字圖像處理、模式識(shí)別和機(jī)器學(xué)習(xí)等技術(shù)的發(fā)展。本文主要針對(duì)粘連字符驗(yàn)證碼進(jìn)行識(shí)別研究,這類驗(yàn)證碼主要的特點(diǎn)是字符間存在粘連,有簡單粘連亦有復(fù)雜粘連。著重選取了六個(gè)網(wǎng)站的登錄或郵箱注冊(cè)驗(yàn)證碼,分別是交通銀行、CSDN、知乎、新浪郵箱、新浪微博和網(wǎng)易驗(yàn)證碼,根據(jù)它們各自的特點(diǎn)提出了相應(yīng)的破解算法。論文的主要研究工作和成果如下:1、針對(duì)交通銀行字符傾斜粘連的問題,提出了一種改進(jìn)的投影分割算法,主要在投影分割算法的基礎(chǔ)上加入動(dòng)態(tài)旋轉(zhuǎn),提升了投影分割點(diǎn)判斷的準(zhǔn)確性;·針對(duì)CSDN字符緊密粘連的情況,將投影分割與字符寬度和像素點(diǎn)和結(jié)合。最終二者分割率均能達(dá)到近100%。2、對(duì)知乎驗(yàn)證碼二值化后字符輪廓?dú)埲钡那闆r,提出了一種基于分級(jí)區(qū)域點(diǎn)搜索的輪廓線修補(bǔ)算法;對(duì)傳統(tǒng)的連通域分割算法進(jìn)行了改進(jìn),使其在有字符碎塊的情況下也能成功分割;對(duì)含曲線噪聲的新浪驗(yàn)證碼,直接利用連通域塊的凹凸性和外圍像素點(diǎn)信息,辨別出噪塊中的字符碎片。3、針對(duì)新浪微博扭曲傾斜粘連字符的分割問題,提出一種改進(jìn)的滴水算法,主要在滴水算法的基礎(chǔ)上加入旋轉(zhuǎn)卡殼算法和豎直投影,既解決傾斜問題又能成功分割粘連字符;對(duì)設(shè)計(jì)復(fù)雜的網(wǎng)易驗(yàn)證碼,主要將連通域分割、豎直投影和滴水分割三種算法相結(jié)合,利用它們各自的分割特征,成功從圖片中逐步分離出各字符。
[Abstract]:The 21 century is the era of information explosion. The rapid development of Internet technology has brought great convenience to people's life. At the same time, the abuse of various network resources has attracted great attention of researchers. The verification code mechanism has come into being and has been applied to various websites to prevent resources from maliciously occupied by computer programs and to protect the privacy of information. The research on the identification of the verification code can not only find the loophole in the design of the verification code to prevent the automatic attack of the program, but also promote the development of digital image processing, pattern recognition and machine learning technology. This paper focuses on the identification of adhesive character verification code. The main characteristics of this kind of code are that there is adhesion between characters, simple adhesion and complex adhesion. This paper selects six websites' login or mailbox registration verification code, which are CSDN, Zhihu, Sina mailbox, Sina Weibo and NetEase respectively, and puts forward the corresponding decoding algorithm according to their respective characteristics. The main research work and results of this paper are as follows: 1. Aiming at the problem of skew adhesion of characters in Bank of Communications, an improved projection segmentation algorithm is proposed, which mainly adds dynamic rotation to the projection segmentation algorithm. The accuracy of judging projection segmentation points is improved, and the projection segmentation is combined with character width and pixel points for the case of close adhesion of CSDN characters. In the end, the segmentation rate of both can reach nearly 100. 2. In order to solve the problem that the character contour is incomplete after binarization, a contour repair algorithm based on hierarchical region search is proposed, and the traditional connected domain segmentation algorithm is improved. In the case of character fragments, it can also be successfully partitioned. For the Sina certification code with curve noise, it directly utilizes the concavity and convexity of the connected domain block and the information of the peripheral pixels. The character fragment. 3 in the noise block is identified. Aiming at the segmentation problem of Sina Weibo's twisted oblique conglutination characters, an improved drip algorithm is proposed, which mainly adds the rotation clamping algorithm and vertical projection on the basis of the drop water algorithm. It can not only solve the problem of inclination but also successfully divide the adhesive characters. For the complex design of NetEase CAPTCA, it mainly combines three algorithms: connected domain segmentation, vertical projection and drip segmentation, and makes use of their respective segmentation characteristics. The characters were successfully separated from the picture step by step.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP309
本文編號(hào)：2254529
[Abstract]:The 21 century is the era of information explosion. The rapid development of Internet technology has brought great convenience to people's life. At the same time, the abuse of various network resources has attracted great attention of researchers. The verification code mechanism has come into being and has been applied to various websites to prevent resources from maliciously occupied by computer programs and to protect the privacy of information. The research on the identification of the verification code can not only find the loophole in the design of the verification code to prevent the automatic attack of the program, but also promote the development of digital image processing, pattern recognition and machine learning technology. This paper focuses on the identification of adhesive character verification code. The main characteristics of this kind of code are that there is adhesion between characters, simple adhesion and complex adhesion. This paper selects six websites' login or mailbox registration verification code, which are CSDN, Zhihu, Sina mailbox, Sina Weibo and NetEase respectively, and puts forward the corresponding decoding algorithm according to their respective characteristics. The main research work and results of this paper are as follows: 1. Aiming at the problem of skew adhesion of characters in Bank of Communications, an improved projection segmentation algorithm is proposed, which mainly adds dynamic rotation to the projection segmentation algorithm. The accuracy of judging projection segmentation points is improved, and the projection segmentation is combined with character width and pixel points for the case of close adhesion of CSDN characters. In the end, the segmentation rate of both can reach nearly 100. 2. In order to solve the problem that the character contour is incomplete after binarization, a contour repair algorithm based on hierarchical region search is proposed, and the traditional connected domain segmentation algorithm is improved. In the case of character fragments, it can also be successfully partitioned. For the Sina certification code with curve noise, it directly utilizes the concavity and convexity of the connected domain block and the information of the peripheral pixels. The character fragment. 3 in the noise block is identified. Aiming at the segmentation problem of Sina Weibo's twisted oblique conglutination characters, an improved drip algorithm is proposed, which mainly adds the rotation clamping algorithm and vertical projection on the basis of the drop water algorithm. It can not only solve the problem of inclination but also successfully divide the adhesive characters. For the complex design of NetEase CAPTCA, it mainly combines three algorithms: connected domain segmentation, vertical projection and drip segmentation, and makes use of their respective segmentation characteristics. The characters were successfully separated from the picture step by step.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP309
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