【正文】 人別系統(tǒng)的最后一步是人臉識別。,hObject,eventData,handles,...) calls the local% function named CALLBACK in with the given input arguments.%% FACECORE(39。,...) creates a new FACECORE or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before faceCore_OpeningFunction gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to faceCore_OpeningF via varargin.18%% *See GUI Options on GUIDE39。, mfilename, ... 39。, faceCore_OpeningF, ... 39。, [] , ... 39。amp。19end% End initialization code DO NOT EDIT% Executes just before faceCore is made visible.function faceCore_OpeningF(hObject, eventdata, handles, varargin)% This function has no output args, see OutputF.% hObject handle to figure% eventdata reserved to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% varargin mand line arguments to faceCore (see VARARGIN)% Choose default mand line output for faceCore = hObject。% hObject handle to figure20% eventdata reserved to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% Get default mand line output from handles structurevarargout{1} = 。), 39。TestDatabasePath = uigetdir(strcat(matlabroot,39。)。*.bmp39。%str=[pathname filename]。% Executes on button press in pushbutton4.function pushbutton4_Callback(hObject, eventdata, handles)% hObject handle to pushbutton4 (see GCBO)% eventdata reserved to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global TrainDatabasePath 。%[m V_PCA V_Fisher ProjectedImages_Fisher] = FisherfaceCore(T)。39。)。imshow(im)。global TrainDatabasePath 。\39。imshow(SelectedImage)。23% Executes on button press in pushbutton7.function pushbutton7_Callback(hObject, eventdata, handles)% hObject handle to pushbutton7 (see GCBO)% eventdata reserved to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)clear all。目前到處可見攝像頭，監(jiān)控錄像，這些的普及，使人臉識別具有重大商業(yè)價值。事實證明，這種方法對人臉能更好的分類，但其對于人臉圖像的像素質(zhì)量等要求較高，而我們只是采用 Orl 標(biāo)準(zhǔn)的人臉數(shù)據(jù)庫中的圖像完成測試，因此可以得到較高的識別率。本次基于 Matlab 的人臉識別系統(tǒng)的仿真設(shè)計到這里就結(jié)束了，在設(shè)計過程中，雖然對幾種方法進行了對比選擇，但是還是有很多不足，可能很多問題想的不夠充分，設(shè)計中有些數(shù)據(jù)可能會有偏差，因此在今后的學(xué)習(xí)生活中要更加努力，不斷地提高自己的科學(xué)文化水平和各方面素質(zhì)。在我做畢業(yè)設(shè)計的這段時間里，常常會被一些難題所困擾，弄得焦頭爛額。最后，我還要感謝身邊的朋友和同學(xué)，在大學(xué)生活的四年里，我在你們的陪伴中成長，謝謝你們在做畢業(yè)設(shè)計這段日子里給予我的幫助。R1=im2double(R)。row=size(Ori_Face,1)。endendrrr=mean(rr)。（2）找區(qū)域邊界function [left, right, up, down] = bianjie(A)[m n] = size(A)。down = 1。 end。for j=n:1:1,for i=1:m,if (A(i,j) ~= 0) right = j。if (right ~= 1) break。 break。 end。 end。end。)。 % 旋轉(zhuǎn)模板[l,r,u,d] = bianjie(model_rot)。 % 產(chǎn)生一個覆蓋了人臉模板的灰度圖像mfit = zeros(size(mult))。starty = cymody。starty = checklimit(starty,limy)。end。sy = starty+u。t get rid of the intervention of people. Into the niy s, as a result of the parties face the pressing needs of the face recognition system, the research of face recognition is very popular. Face recognition method is a major breakthrough, entered the stage of the real machine automatic identification such as Karhunen Loeve transform or a new neural work technology. Face recognition research obtained the unprecedented attention, the number of papers published on face recognition and so on increased dramatically, from 1990 to 1990 alone, between SCI and EI can be retrieved as many as thousands of articles, related literature about face recognition during the period of this review is also visible. Abroad, there are many schools in facial recognition technology research, research field is very wide. These studies are military, police and big pany attaches great importance to and support the domestic some wellknown colleges and universities are engaged in the research of face recognition.Face recognition is a frontier topic in the field of pattern recognition, but the current face recognition was still in the stage of research topic, it is not active topic in the field of practical application. While humans can tell a person had no difficulty (in) the human face, but the use of puters for fully automatic face recognition has many difficulties, displays in: the face is a rigid body, the face changes。它的研究涉及模式識別、圖像處理、生物學(xué)、心理學(xué)、認知科學(xué)，與基于其它生物特征的身份鑒別方法以及計算機人機感知交互領(lǐng)域都有密切聯(lián)系。1972 年，Harmon 用交互人臉識別方法在理論上與實踐上進行了詳細的論述。進入九十年代，由于各方面對人臉識別系統(tǒng)的迫切需求，人臉識別的研究變的非常熱門。國外有許多學(xué)校在研究人臉識別技術(shù)，研究涉及的領(lǐng)域很廣。人臉識別的困難還在于圖像包括大量的數(shù)據(jù)，輸入的像素可能成百上千，每個像素都含有各自不同的灰度級，由此帶來的計算的復(fù)雜度將會增加。我不知道年少輕狂，我只知道勝者為王。 壓力不是有人比你努力，而是那些比你牛幾倍的人依然比你努力。什么時候離光明最近？那就是你覺得黑暗太黑的時候。歡迎您的光臨，Word ！希望您提出您寶貴的意見，你的意見是我進步的動力。 人臉識別是當(dāng)前模式識別領(lǐng)域的一個前沿課題，但目前人臉識別尚處于研究課題階段，尚不是實用化領(lǐng)域的活躍課題。ve 變換等或新的神經(jīng)網(wǎng)絡(luò)技術(shù)。80 年代初 T. Minami 研究出了優(yōu)于 Sakai 的人臉圖像自動識別系統(tǒng)。20 世紀(jì) 60 年代，Bledsoe 提出了人臉識別的半自動系統(tǒng)模式與特征提取方法。 The adornment such as hair, glasses of face cause sh