【正文】 畢業(yè)設(shè)計(jì)（論文）原創(chuàng)性聲明和使用授權(quán)說明 原創(chuàng)性聲明 本人鄭重承諾：所呈交的畢業(yè)設(shè)計(jì)（論文），是我個(gè)人在指導(dǎo)教師的指導(dǎo)下進(jìn)行的研究工作及取得的成 果。盡我所知，除文中特別加以標(biāo)注和致謝的地方外，不包含其他人或組織已經(jīng)發(fā)表或公布過的研究成果，也不包含我為獲得 及其它教育機(jī)構(gòu)的學(xué)位或?qū)W歷而使用過的材料。 作 者 簽 名： 日 期： 指導(dǎo)教師簽名： 日 期： 使用授權(quán)說明 本人完全了解 大學(xué)關(guān)于收集、保存、使用畢業(yè)設(shè)計(jì)（論文）的規(guī)定，即：按照學(xué) 校要求提交畢業(yè)設(shè)計(jì)（論文）的印刷本和電子版本；學(xué)校有權(quán)保存畢業(yè)設(shè)計(jì)（論文）的印刷本和電子版，并提供目錄檢索與閱覽服務(wù)；學(xué)?？梢圆捎糜坝?、縮印、數(shù)字化或其它復(fù)制手段保存論文；在不以贏利為目的前提下，學(xué)?？梢怨颊撐牡牟糠只蛉績?nèi)容。除了文中特別加以標(biāo)注引用的內(nèi)容外，本論文不包含任何其他個(gè)人或集體已經(jīng)發(fā)表或撰寫的成果作品。本人完全意識到本聲明的法律后果由本人承擔(dān)。本人授權(quán) 大學(xué)可以將本學(xué)位論文的全部或部分內(nèi)容編入有關(guān)數(shù)據(jù)庫進(jìn)行檢索，可以采用影印、縮印或掃描等復(fù)制手段保存和匯編本學(xué)位論文。 作者簽名： 日期： 年 月 日 導(dǎo)師簽名： 日期： 年 月 日 第 III頁 基于 Matlab 的指紋圖像 特征提取 摘 要 隨著社會的發(fā)展，傳統(tǒng)的基于信物或口令的安全系統(tǒng)顯得越來越脆弱，不能適應(yīng)現(xiàn)代安全系統(tǒng)的需要，因而人們需要研究更加安全可靠，防偽性能更好的安全系統(tǒng)。 指紋識別大體分為三個(gè)步驟：預(yù)處理、特征提取和特征匹配。實(shí)驗(yàn)表明，以上算法具有較小的運(yùn)算量和較高的準(zhǔn)確性。 關(guān)鍵字 ： 指紋特征提取，去除偽特征，算法仿真 第 IV頁 Matlabbased fingerprint image feature extraction Abstract With the development of society, the traditional safety system based on keepsake and password has been weaker, Which can not meet the requirement of modern safety system. In this case, the need of a more reliable safety system with higher antifake performance prompts the appearance of fingerprint identification technique. This technique, with a higher safety and reliable performance, can improve the reliability of identity resolution in virtue of human body’s physiological feature, and it has been a research focus these days. Fingerprint identification falls into three parts, they are pretreatment, feature extraction, and characteristic matching. The thesis mainly focus feature extraction, it optimized and innovated some key algorithms of this parts, which can be described as follows: in the feature extraction part, the thesis used a eightneighborhood coding ridge tracing algorithm, removing some templates of consecutive points and bifurcate points which have been optimized and removed in the thinning algorithm, and finally marking terminate points as well as bifurcate Points to execute feature extraction. Experiment result indicated that such new algorithm has a less operation but with a higher accuracy. All the algorithms introduced above have been implemented on Matlab, and result proved an adaptive good effect, which facilitates the next characteristic matching process. Key words: Feature extraction, Removing of false characteristic points, Algorithm simulate 第 III頁 目 錄 1 緒論 ........................................................................................................................................ 1 引言 ............................................................................................................................... 1 生物識別技術(shù)簡介 ...................................................................................................... 1 指紋識別技術(shù) ............................................................................................................... 2 指紋識別簡介 ..................................................................................................... 2 指紋識別原理 ..................................................................................................... 3 指紋識 別的發(fā)展 ................................................................................................. 3 指紋識別的優(yōu)缺點(diǎn) ............................................................................................. 5 指紋識別系統(tǒng) ..................................................................................................... 5 指紋圖像特征提取 ....................................................................................................... 6 主要內(nèi)容和結(jié)構(gòu)安排 ................................................................................................... 7 主要內(nèi)容 ............................................................................................................. 7 結(jié)構(gòu)安排 ............................................................................................................. 7 2 指紋圖像的預(yù)處理 ................................................................................................................ 9 歸一化 ........................................................................................................................... 9 圖像增強(qiáng) ....................................................................................................................... 9 二值化 ......................................................................................................................... 10 細(xì)化 ............................................................................................................................. 11 本章小結(jié) ..................................................................................................................... 12 3 指紋圖像特征的提取 .......................................................................................................... 13 指紋圖像的特征 ......................................................................................................... 13 全局特征 ........................................................................................................... 13 局部特征 ........................................................................................................... 13 指紋圖像特征點(diǎn)的提取 ............................................................................................. 14 直接灰度圖像法 ............................................................................................... 15 基于細(xì)化圖像的模板匹配法 ........................................................................... 16