代码搜索结果

function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp) % 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字 % Comp 是用于识别 0和8 的底部补充信息 StrT='T'; StrL='T'; StrR='T'; StrB='T'; RStr='T';

function OutputName = Recognition(TestImage, m_database, V_PCA, V_Fisher, ProjectedImages_Fisher) % Recognizing step.... % % Description: This function compares two faces by projecting the images i

function OutputName = Recognition(TestImage, m, A, Eigenfaces) % Recognizing step.... % % Description: This function compares two faces by projecting the images into facespace and % measuring the

% % 文本文件sDataFile必须为以下格式： % Database D:\kk.h\study\人脸库\ORL\92x112\ % TrainSet 1 % TestSet 2,3,4,5,6,7,8,9,10 % % Database D:\kk.h\study\人脸库\ORL\92x112\ % TrainSet 1,2,3 % TestSet 4,5,6,7,8,

function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp) % 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字 % Comp 是用于识别 0和8 的底部补充信息 StrT='T'; StrL='T'; StrR='T'; StrB='T'; RStr='T';

% Copyright (C) 2006, Eric Chi. % chijing80@hotmail.com % Test samples set. testSamplesNum = samplesPerPerson - trainSamplesNum; testSamplesTotal = testSamplesNum * personsNum; % Recogniton b

0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 0.0 1.0 1.0 0.0 0.0 1.0 1.0 1.0 0.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 0.0 1.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0

function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp) % 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字 % Comp 是用于识别 0和8 的底部补充信息 StrT='T'; StrL='T'; StrR='T'; StrB='T'; RStr='T';

% % 文本文件sDataFile必须为以下格式： % Database D:\kk.h\study\人脸库\ORL\92x112\ % TrainSet 1 % TestSet 2,3,4,5,6,7,8,9,10 % % Database D:\kk.h\study\人脸库\ORL\92x112\ % TrainSet 1,2,3 % TestSet 4,5,6,7,8,