本文關(guān)鍵詞： 指紋識別 指紋分割 濾波增強(qiáng) 嵌入式 特征提取　出處：《武漢科技大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著社會的飛速發(fā)展，對個人身份識別的需求無處不在，并且與日俱增。傳統(tǒng)的身份識別方法的局限性和弊端表現(xiàn)得越來越明顯。悄然興起的生物特征識別技術(shù)，可以從本質(zhì)上解決傳統(tǒng)了身份識別技術(shù)的不足，因此正逐漸被認(rèn)可。指紋識別技術(shù)發(fā)展至今已經(jīng)成為生物特征識別應(yīng)用最為可靠，方便的一種類型。傳統(tǒng)的基于PC機(jī)的指紋識別系統(tǒng)存在著體積大，不易攜帶，實(shí)時性差等特點(diǎn)。這些使得基于嵌入式系統(tǒng)的指紋識別系統(tǒng)成為正在研究的熱點(diǎn)。隨著移動通信蓬勃發(fā)展和便攜式設(shè)備的推陳出新，，指紋識別技術(shù)在今后將被更多的應(yīng)用于便攜式設(shè)備。在這一背景下，基于嵌入式的指紋識別技術(shù)的研究無論對于讓指紋識別從依賴于PC機(jī)向脫機(jī)使用發(fā)展以提高系統(tǒng)靈活性，實(shí)用性，性價比，還是對于拓展嵌入式系統(tǒng)的應(yīng)用領(lǐng)域，都具有重大意義。 本文中，首先對指紋識別技術(shù)的特點(diǎn)、應(yīng)用和市場概況做了研究。討論了一系列嵌入式指紋開發(fā)涉及到的技術(shù)問題，給出了嵌入式系統(tǒng)一般開發(fā)步驟。對于指紋采集儀設(shè)備理論和參數(shù)等做了研究，并對幾種類型的指紋采集儀做了對比。然后，對基于ARM嵌入式的指紋識別系統(tǒng)進(jìn)行了研究。從系統(tǒng)硬件和軟件兩個方面對嵌入式指紋識別系統(tǒng)進(jìn)行了設(shè)計，分析了設(shè)計開發(fā)過程中可能遇到的問題，給出了硬件設(shè)計框圖及設(shè)計思路，并對軟件算法流程作了分析。最后，著重研究了適用于嵌入式系統(tǒng)的指紋識別算法。提出了一種改進(jìn)的指紋圖像分割方法；對基于Gabor濾波器的指紋圖像增強(qiáng)算法進(jìn)行了改進(jìn)；提出了改進(jìn)的細(xì)化方法對指紋圖像進(jìn)行細(xì)化處理。通過針對指紋識別系統(tǒng)算法流程中的每一步驟分析，對現(xiàn)有的一些算法進(jìn)行簡化和創(chuàng)新，提出自己的改進(jìn)算法，最后得出一整套適合于基于ARM的嵌入式系統(tǒng)上運(yùn)行指紋識別算法。并將所有算法在PC機(jī)上編程實(shí)現(xiàn)。
[Abstract]:With the rapid development of society, the need for personal identification is everywhere. The limitations and drawbacks of traditional identification methods are becoming more and more obvious. The emerging biometric identification technology can solve the shortcomings of traditional identity recognition technology in essence. Fingerprint identification technology has become the most reliable and convenient type of biometrics application. Traditional PC-based fingerprint identification system has a large volume. These characteristics make the fingerprint identification system based on embedded system become a hot topic. With the rapid development of mobile communication and the innovation of portable devices. Fingerprint identification technology will be more used in portable devices in the future. In this context. The research of fingerprint identification technology based on embedded system can improve the flexibility, practicability and cost performance of the system by developing fingerprint identification from PC to offline. Or to expand the application of embedded systems, are of great significance. In this paper, first of all, the characteristics, application and market situation of fingerprint identification technology are studied, and a series of technical problems involved in the development of embedded fingerprint are discussed. The general development steps of the embedded system are given. The equipment theory and parameters of the fingerprint collector are studied, and several types of fingerprint acquisition instruments are compared. The fingerprint identification system based on ARM is studied. The embedded fingerprint identification system is designed from two aspects of system hardware and software, and the problems that may be encountered in the process of design and development are analyzed. The hardware design block diagram and design idea are given, and the software algorithm flow is analyzed. Finally, the fingerprint recognition algorithm suitable for embedded system is studied emphatically, and an improved fingerprint image segmentation method is proposed. The fingerprint image enhancement algorithm based on Gabor filter is improved. An improved thinning method is proposed to refine the fingerprint image. By analyzing each step of the fingerprint identification system algorithm, some existing algorithms are simplified and innovated. An improved algorithm is proposed and a set of fingerprint recognition algorithms which are suitable for the embedded system based on ARM are obtained and all the algorithms are programmed on PC.
【學(xué)位授予單位】：武漢科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP391.41;TP368.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 吳良;何偉;張玲;張萌;楊建新;;基于FPGA的Gabor濾波指紋增強(qiáng)技術(shù)[J];單片機(jī)與嵌入式系統(tǒng)應(yīng)用;2008年08期

2 苑瑋琦;李宏偉;;基于指紋結(jié)構(gòu)特征信息匹配的算法[J];光電工程;2006年07期

3 朱寧;施榮華;吳科樺;;一種新的點(diǎn)模式指紋匹配方法[J];計算機(jī)工程與應(yīng)用;2006年05期

4 王發(fā)牛;粱棟;陳軍寧;唐俊;屈磊;;基于Contourlet變換的指紋圖像增強(qiáng)[J];計算機(jī)工程與應(yīng)用;2006年31期

5 吳健輝;許朝俠;楊坤濤;張國云;;指紋圖像預(yù)處理中的關(guān)鍵技術(shù)研究[J];計算機(jī)工程與應(yīng)用;2008年03期

6 姜紅超;張高偉;;基于脊線跟蹤的指紋細(xì)節(jié)特征提取[J];計算機(jī)工程;2007年08期

7 袁華強(qiáng);葉陽東;鄧見光;柴曉光;李勇;;一種基于基準(zhǔn)點(diǎn)的指紋匹配算法[J];計算機(jī)工程;2008年03期

8 張紅云;苗奪謙;傅文杰;;基于改進(jìn)的GPL主曲線算法的指紋特征分析與提取[J];模式識別與人工智能;2007年06期

9 楊小冬;寧新寶;尹義龍;;自動指紋識別系統(tǒng)預(yù)處理技術(shù)及細(xì)節(jié)特征提取算法的研究[J];南京大學(xué)學(xué)報(自然科學(xué)版);2006年04期

10 沈小豐,李小貝;便攜式指紋識別系統(tǒng)的設(shè)計[J];自動化技術(shù)與應(yīng)用;2005年04期

相關(guān)博士學(xué)位論文 前1條

1 祝恩;低質(zhì)量指紋圖像的特征提取與識別技術(shù)的研究[D];國防科學(xué)技術(shù)大學(xué);2005年

相關(guān)碩士學(xué)位論文 前1條

1 項希;基于ARM的指紋采集系統(tǒng)研究[D];武漢理工大學(xué);2007年

本文編號：1446589