Local binary pattern is used to prove liveness

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);