基于紋理的計(jì)算機(jī)筆跡識(shí)別算法研究
發(fā)布時(shí)間：2018-11-28 08:57
【摘要】： 從上世紀(jì)60年代計(jì)算機(jī)輔助筆跡鑒定的研究就開始了。當(dāng)時(shí),蘇聯(lián)的幾名研究者在1966年發(fā)表了用計(jì)算機(jī)進(jìn)行筆跡鑒定的研究報(bào)告,當(dāng)時(shí)他們所用的方法是從俄文字符骨架中提取一些代表點(diǎn)作為特征,如用俄文中的字母“K”作為實(shí)驗(yàn)樣本,當(dāng)時(shí)得到了75%的鑒定正確率。到了70年代末、80年代初,計(jì)算機(jī)輔助筆跡鑒定的研究和開發(fā)演變成了一個(gè)熱潮。其中屬前聯(lián)邦德國(guó)刑事技術(shù)部主持研制的計(jì)算機(jī)聯(lián)網(wǎng)筆跡鑒別系統(tǒng)影響最大。該項(xiàng)目有大量專家學(xué)者參加了研究,雖然投資大、歷時(shí)長(zhǎng),但是也獲得了一系列行之有效的方法。由于語言文字上的淵源,日本的方法比較適合中國(guó)的情況,而且日本學(xué)者在這方面發(fā)表的文獻(xiàn)數(shù)目也比較多,質(zhì)量也都比較高,很值得我們借鑒。 目前中國(guó)的文檢技術(shù)水平在在世界上也是處于領(lǐng)先地位的,特別是在筆跡鑒定這一方面。從上世紀(jì)90年代開始,中科院自動(dòng)化文字識(shí)別實(shí)驗(yàn)室與北京市刑事科技研究所合作就開始了計(jì)算機(jī)輔助筆跡鑒定的研究,之后后眾多國(guó)內(nèi)的專家學(xué)者和研究機(jī)構(gòu)都在致力于筆跡鑒定計(jì)算機(jī)系統(tǒng)方面的開發(fā),并取得了一些成果,但真正投入廣泛使用的到現(xiàn)在還很少。當(dāng)前,傳統(tǒng)的由筆跡鑒定專家人工進(jìn)行筆跡鑒定的工作方法已難以滿足目前工作量很大的筆跡鑒定要求。在計(jì)算機(jī)技術(shù)、互聯(lián)網(wǎng)及數(shù)字圖像技術(shù)廣泛應(yīng)用的今天,筆跡鑒定工作也應(yīng)借助科技優(yōu)勢(shì)實(shí)現(xiàn)數(shù)字化、信息化、網(wǎng)絡(luò)化。因此,我們還需對(duì)計(jì)算機(jī)輔助筆跡鑒定的相關(guān)方面進(jìn)行深入的研究。 本文除了引言以外分為五個(gè)大的部分：第一部分是基于紋理的計(jì)算機(jī)輔助筆跡鑒定算法概述和目前研究狀況及問題的提出；第二部分主要簡(jiǎn)析了計(jì)算機(jī)輔助筆跡鑒定系統(tǒng)的構(gòu)成；第三部分是筆跡圖像的預(yù)處理算法分析；第四部分見簡(jiǎn)析研究了筆跡特征提取的算法；最后是對(duì)基于紋理的計(jì)算機(jī)筆跡算法的分析。
[Abstract]:The study of computer-aided handwriting identification began in the 1960 s. At that time, several researchers in the Soviet Union published a study on handwriting identification by computer in 1966. The method they used at that time was to extract some representative points from the Russian character skeleton as a feature. For example, using the Russian letter "K" as the experimental sample, 75% accuracy was obtained at that time. By the late 1970s and early 1980s, the research and development of computer-aided handwriting identification had become an upsurge. The computer network handwriting identification system developed by the former Federal Ministry of Criminal Technology in Germany has the greatest influence. A large number of experts and scholars participated in the project. Although the investment is large and the duration is long, a series of effective methods have been obtained. Due to the origin of language and writing, the Japanese method is more suitable for the situation in China, and the number of documents published by Japanese scholars in this respect is also relatively large and the quality is relatively high, which is worthy of our reference. At present, the level of document checking technology in China is also in the leading position in the world, especially in handwriting identification. Since the 1990s, the automatic character recognition Laboratory of the Chinese Academy of Sciences, in cooperation with the Beijing Institute of Criminal Science and Technology, has begun the study of computer-aided handwriting identification. After that, many domestic experts, scholars and research institutes are devoting themselves to the development of handwriting identification computer system, and have made some achievements, but few of them have been put into wide use until now. At present, the traditional manual handwriting identification method by handwriting identification experts has been difficult to meet the current workload of handwriting identification requirements. Nowadays, with the wide application of computer technology, Internet and digital image technology, handwriting identification should also be digitized, informationalized and networked with the help of scientific and technological advantages. Therefore, we need to further study the related aspects of computer-aided handwriting identification. In addition to the introduction, this paper is divided into five parts: the first part is an overview of texture-based computer-aided handwriting identification algorithm and the current research situation and problems; The second part mainly analyzes the composition of the computer-aided handwriting identification system; the third part is the analysis of the pre-processing algorithm of handwriting image; the fourth part is a brief analysis of the handwriting feature extraction algorithm. Finally, the computer handwriting algorithm based on texture is analyzed.
【學(xué)位授予單位】：西南政法大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類號(hào)】：D918.92
本文編號(hào)：2362403
[Abstract]:The study of computer-aided handwriting identification began in the 1960 s. At that time, several researchers in the Soviet Union published a study on handwriting identification by computer in 1966. The method they used at that time was to extract some representative points from the Russian character skeleton as a feature. For example, using the Russian letter "K" as the experimental sample, 75% accuracy was obtained at that time. By the late 1970s and early 1980s, the research and development of computer-aided handwriting identification had become an upsurge. The computer network handwriting identification system developed by the former Federal Ministry of Criminal Technology in Germany has the greatest influence. A large number of experts and scholars participated in the project. Although the investment is large and the duration is long, a series of effective methods have been obtained. Due to the origin of language and writing, the Japanese method is more suitable for the situation in China, and the number of documents published by Japanese scholars in this respect is also relatively large and the quality is relatively high, which is worthy of our reference. At present, the level of document checking technology in China is also in the leading position in the world, especially in handwriting identification. Since the 1990s, the automatic character recognition Laboratory of the Chinese Academy of Sciences, in cooperation with the Beijing Institute of Criminal Science and Technology, has begun the study of computer-aided handwriting identification. After that, many domestic experts, scholars and research institutes are devoting themselves to the development of handwriting identification computer system, and have made some achievements, but few of them have been put into wide use until now. At present, the traditional manual handwriting identification method by handwriting identification experts has been difficult to meet the current workload of handwriting identification requirements. Nowadays, with the wide application of computer technology, Internet and digital image technology, handwriting identification should also be digitized, informationalized and networked with the help of scientific and technological advantages. Therefore, we need to further study the related aspects of computer-aided handwriting identification. In addition to the introduction, this paper is divided into five parts: the first part is an overview of texture-based computer-aided handwriting identification algorithm and the current research situation and problems; The second part mainly analyzes the composition of the computer-aided handwriting identification system; the third part is the analysis of the pre-processing algorithm of handwriting image; the fourth part is a brief analysis of the handwriting feature extraction algorithm. Finally, the computer handwriting algorithm based on texture is analyzed.
【學(xué)位授予單位】：西南政法大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類號(hào)】：D918.92
【引證文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 賈雪飛;基于紋理強(qiáng)化的微量筆跡鑒別技術(shù)研究[D];湖南大學(xué);2012年
，本文編號(hào)：2362403
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