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Local binary pattern is used to prove liveness

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amrin shaikh
amrin shaikh 2019-5-21
i have executed Local Binary Pattern code but I am not getting that how histogram calulation can help in proving liveness.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
imtool close all; % Close all imtool figures.
clear; % Erase all existing variables.
workspace; % Make sure the workspace panel is showing.
fontSize = 20;
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, 'E:\phd_31_10_2017\amrin phd Journey\DAC 3 READING\dac3 content\algorithms');
baseFileName = '031TamLidxItd.png';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
% Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
grayImage = rgb2gray(imread(fullFileName));
% Get the dimensions of the image. numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original gray scale image.
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Position', get(0,'Screensize'));
set(gcf,'name','Image Analysis Demo','numbertitle','off')
% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(grayImage);
subplot(2, 2, 2);
bar(pixelCount);
title('Histogram of original image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
% Preallocate/instantiate array for the local binary pattern.
localBinaryPatternImage = zeros(size(grayImage));
for row = 2 : rows - 1
for col = 2 : columns - 1
centerPixel = grayImage(row, col);
pixel7=grayImage(row-1, col-1) > centerPixel;
pixel6=grayImage(row-1, col) > centerPixel;
pixel5=grayImage(row-1, col+1) > centerPixel;
pixel4=grayImage(row, col+1) > centerPixel;
pixel3=grayImage(row+1, col+1) > centerPixel;
pixel2=grayImage(row+1, col) > centerPixel;
pixel1=grayImage(row+1, col-1) > centerPixel;
pixel0=grayImage(row, col-1) > centerPixel;
localBinaryPatternImage(row, col) = uint8(...
pixel7 * 2^7 + pixel6 * 2^6 + ...
pixel5 * 2^5 + pixel4 * 2^4 + ...
pixel3 * 2^3 + pixel2 * 2^2 + ...
pixel1 * 2 + pixel0);
end
end
subplot(2,2,3);
imshow(localBinaryPatternImage, []);
title('Local Binary Pattern', 'FontSize', fontSize);
subplot(2,2,4);
[pixelCounts, GLs] = imhist(uint8(localBinaryPatternImage));
bar(GLs, pixelCounts);
title('Histogram of Local Binary Pattern', 'FontSize', fontSize);

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