本文關(guān)鍵詞：基于度序列的身份證號(hào)碼識(shí)別研究　出處：《北京交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 度序列 不變量 預(yù)處理 統(tǒng)計(jì)方法 MFC

【摘要】：身份證號(hào)碼識(shí)別技術(shù)蘊(yùn)藏著巨大的經(jīng)濟(jì)價(jià)值,它在政府辦事部門、酒店入住登記等方面具有非常強(qiáng)的應(yīng)用背景。雖然每個(gè)人的身份證號(hào)碼由18個(gè)數(shù)字組成,但是其本質(zhì)上最多出現(xiàn)10個(gè)不同的數(shù)字。因?yàn)榇�識(shí)別圖像清晰度與拍攝環(huán)境、設(shè)備等因素相關(guān),所以身份證號(hào)碼識(shí)別系統(tǒng)應(yīng)具有魯棒性。我們希望識(shí)別率達(dá)到100%,同時(shí)對(duì)于使用身份證號(hào)碼識(shí)別系統(tǒng)的用戶來說,識(shí)別系統(tǒng)也應(yīng)具有界面友好、操作簡(jiǎn)單等優(yōu)點(diǎn)。本文首先介紹了身份證號(hào)碼識(shí)別技術(shù)的背景和研究意義;其次討論了身份證號(hào)碼識(shí)別系統(tǒng)的預(yù)處理,包括圖像二值化、去噪、定位、分割等。對(duì)如何選擇合適的二值化閾值以及如何對(duì)圖像去噪進(jìn)行了論述;并在數(shù)學(xué)形態(tài)學(xué)的基礎(chǔ)上,討論了圖像細(xì)化、分割算法。最后闡述了圖像識(shí)別的兩種方法:結(jié)構(gòu)方法和統(tǒng)計(jì)方法。根據(jù)身份證號(hào)碼的數(shù)字特征,在統(tǒng)計(jì)方法的基礎(chǔ)上,本文提出了一種新的改進(jìn)方法:基于度序列的身份證號(hào)碼識(shí)別。第一,根據(jù)度序列的概念,單個(gè)數(shù)字可以看成是由簡(jiǎn)單圖構(gòu)成的;第二,設(shè)置一個(gè)元素均為1的3×3模板,使模板中心點(diǎn)與待識(shí)別圖像像素為1的點(diǎn)重合,用給定模板與該像素點(diǎn)的8-鄰域所有點(diǎn)進(jìn)行邏輯“與”運(yùn)算,然后對(duì)模板的結(jié)果進(jìn)行計(jì)算,即可得到該點(diǎn)的度數(shù);第三,利用Microsoft Visual Studio 2010版本中MFC平臺(tái)開發(fā)功能和C/C++高級(jí)語言程序進(jìn)行界面設(shè)計(jì)、算法實(shí)現(xiàn),最終在電腦屏幕上顯示身份證號(hào)碼識(shí)別結(jié)果。經(jīng)實(shí)驗(yàn)結(jié)果表明,該方法的身份證號(hào)碼識(shí)別率在88%以上,具有一定的應(yīng)用性。新的改進(jìn)方法的優(yōu)點(diǎn)是把原始圖像數(shù)據(jù)通過計(jì)算機(jī)軟件產(chǎn)生一組不變量——度序列。由于它不需要存儲(chǔ)整個(gè)身份證圖像,因此在很大程度上降低了計(jì)算機(jī)的存儲(chǔ)空間,同時(shí)也保護(hù)了個(gè)人的隱私。
[Abstract]:ID number recognition technology has great economic value, it has a strong application background in government departments, hotel check-in registration and so on, although each person's ID number is composed of 18 digits. But in essence there are up to 10 different numbers, because the clarity of the image to be identified is related to the shooting environment, equipment and other factors. Therefore, the identification system should be robust. We want to achieve a recognition rate of 100, and for users using the identification system, the identification system should also have a friendly interface. Firstly, this paper introduces the background and significance of ID number recognition technology. Secondly, the preprocessing of ID number recognition system is discussed, including image binarization, denoising, location, segmentation and so on. On the basis of mathematical morphology, the algorithm of image thinning and segmentation is discussed. At last, two methods of image recognition: structure method and statistical method, according to the digital feature of ID number, are discussed. On the basis of statistical method, this paper proposes a new improved method: identification of ID number based on degree sequence. Firstly, according to the concept of degree sequence, a single number can be regarded as a simple graph. Secondly, a 3 脳 3 template with an element of 1 is set so that the center point of the template coincides with the point of pixel 1 of the image to be identified, and the logical "and" operation is performed with the given template and all the points in the 8-neighborhood of the pixel point. Then the results of the template are calculated and the degree of the point can be obtained. Thirdly, using the MFC platform development function of Microsoft Visual Studio 2010 version and C / C high-level language program to carry on the interface design, the algorithm is realized. Finally, the identification results are displayed on the computer screen. The experimental results show that the identification rate of the method is more than 88%. The advantage of the new improved method is that the original image data is generated by computer software to produce a set of invariant-degree sequences because it does not need to store the entire ID image. As a result, the storage space of the computer is greatly reduced, and the privacy of the individual is also protected.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

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本文編號(hào)：1397647