%?本程序采用2級(jí)PCA提取特征，最小藕歐距離分類器進(jìn)行人臉識(shí)別，實(shí)驗(yàn)數(shù)據(jù)為orl人臉庫(kù)。
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%?本文作為我從事模式識(shí)別研究的開始，留下此代碼作為見證。
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%?由于Matlab軟件是初次使用，很多函數(shù)還不是很熟識(shí)，所以代碼的執(zhí)行效率可能不夠高，本代碼僅供參考。
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%??參考文獻(xiàn)：J.?Yang?D.?Zhang?A.F.?Frangi?J.Y.?Yang?Two-dimensional?PCA:?a?new?approach?to?appearancebased?face?representation?and?recognition?IEEE?Trans.?Pattern?Anal.?Mach.?Intell.?26?（1）?（2004）
%?131–137.

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%This?program?is?writen?by?zhangming?on?2009-5-10
%this?is?my?homeworke?of?machine?leaning
%my?e-mail:?zm_fred@163.com
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clear?all
clc
close?all

%選擇訓(xùn)練樣本路徑
TrainDatabasePath?=?uigetdir（‘F:\本專業(yè)\人臉數(shù)據(jù)庫(kù)資源\人臉數(shù)據(jù)庫(kù)\ORL‘?‘Select?training?database?path‘?）;
%選擇測(cè)試樣本路徑
TestDatabasePath?=?uigetdir（‘F:\本專業(yè)\人臉數(shù)據(jù)庫(kù)資源\人臉數(shù)據(jù)庫(kù)\ORL‘?‘Select?test?database?path‘）;

%生成測(cè)試數(shù)據(jù)集
%T?=?CreateDatabase（TrainDatabasePath）;
TrainFiles?=?dir（TrainDatabasePath）;
class_Number?=?0;
s=size（TrainFiles1）;
%計(jì)算訓(xùn)練樣本個(gè)數(shù)
for?i?=?1:size（TrainFiles