【正文】 畢 業(yè) 設(shè) 計(jì) [論 文 ] 題 目： 基于 MATLAB 的人臉識(shí)別系統(tǒng)設(shè)計(jì) 河南城建學(xué)院本科畢業(yè)設(shè)計(jì)（論文） 摘要 I 摘要 人臉識(shí)別是模式識(shí)別和圖像處理等學(xué)科的一個(gè)研究熱點(diǎn)，它廣泛應(yīng)用在身份驗(yàn)證、刑偵破案、視頻監(jiān)視、機(jī)器人智能化和醫(yī)學(xué)等領(lǐng)域，具有廣闊的應(yīng)用價(jià)值和商用價(jià)值。人臉特征作為一種生物特征，與其他生物特征相比，具有有好、直接、方便等特點(diǎn)，因此使用人臉特征進(jìn)行身份識(shí)別更易于被用戶所接受。 人臉識(shí)別技術(shù)在過去的幾十年得到了很大的發(fā)展，但由于人臉的非剛性、表情多 變等因素，使得人臉識(shí)別技術(shù)在實(shí)際應(yīng)用中面臨著巨大的困難。本文針對(duì)近年來國(guó)內(nèi)外相關(guān)學(xué)術(shù)論文及研究報(bào)告進(jìn)行學(xué)習(xí)和分析的基礎(chǔ)上，利用圖像處理的matlab實(shí)現(xiàn) 人臉識(shí)別方法，這種實(shí)現(xiàn)簡(jiǎn)單且識(shí)別準(zhǔn)確率高，但其缺點(diǎn)是計(jì)算量大，當(dāng)要識(shí)別較多人員時(shí)，該方法難以勝任。 利用 MATLAB實(shí)現(xiàn)了一個(gè)集多種預(yù)處理方法于一體的通用的人臉圖像預(yù)處理仿真系統(tǒng)，將該系統(tǒng)作為圖像預(yù)處理模塊可嵌入在人臉識(shí)別系統(tǒng)中，并利用灰度圖像的直方圖比對(duì)來實(shí)現(xiàn)人臉圖像的識(shí)別判定。 關(guān)鍵詞： 圖像處理 , Matlab, 人臉識(shí)別 , 模式識(shí)別 河南城建學(xué)院本科畢業(yè)設(shè)計(jì)（論文） ABSTRACT II ABSTRACT Human face recognition focuses on pattern recognition ,image processing andother is widely used in authentication,investigation,video surveillance,intelligent robots,medicine and other has wide application and business value.Facial feature asabiological characteristic,pared with others is direct,friendly andco featureemployed in authentication are userfriendly. The technology of face recognition in the past few years obtained the very big development, but due to the face of nonrigid, expression and changeablefactors, the face recognition technology in practical application are facing great difficulties. This paper aimed at home and abroad in recent years the relevant papers and researchreports on study and on the basis of the analysis, some units within the data sensitivity places need to enter personnel to carry out limitation design and develop a set of identity verification identification system, the system uses PCA face recognition method, therealization is simple and the accuracy rate of recognition is high,but itsdrawback is that a large amount of calculation, when to identify more staff,this method is difficult to do. The realization of a set of various pretreatment methods in one of the generic face image preprocessing simulation system based on MATLAB, the system is used as the image preprocessing module can be embedded in a face recognition system, and using the histogram matching gray image to realize the recognition of human face i mages to determine. Keywords: Imageprocessing , Matlab, Face recognition, Patternrecognition 河南城建學(xué)院本科畢業(yè)設(shè)計(jì)（論文） 目錄 III 目錄 摘要 ................................................................................................................................. I ABSTRACT .........................................................................................................................II 1 緒論 ............................................................................................................................. 1 研究背景 ............................................................................................................... 1 ...................................................................................................... 2 人臉圖像識(shí)別的應(yīng)用前景 ....................................................................................... 3 本文研究的問題 ..................................................................................................... 3 識(shí)別系統(tǒng)構(gòu)成 ........................................................................................................ 4 論文的內(nèi)容及組織 ................................................................................................. 5 2 圖像處理的 Matlab實(shí)現(xiàn) ............................................................................................... 6 Matlab簡(jiǎn)介 ........................................................................................................... 6 數(shù)字圖像處理及過程 .............................................................................................. 6 .................................................................................... 6 ........................................................................................... 6 ...................................................................................................... 6 ...................................................................................................... 7 Matlab實(shí)現(xiàn)實(shí)例 ........................................................................... 7 本章小結(jié) ............................................................................................................. 10 3 人臉圖像識(shí)別計(jì)算機(jī)系統(tǒng) ............................................................................................11 引言 ..................................................................................................................... 11 ....................................................................................................... 11 人臉檢測(cè)定位算法 ............................................................................................... 12 人臉圖像的預(yù)處理 ............................................................................................... 16 人臉圖像預(yù)處理方法 ................................................................................. 17 識(shí)別 .............................................................................................................. 18 4 實(shí)驗(yàn)結(jié)果與分析 ......................................................................................................... 23 5 結(jié)論 ................................................................................