How do I save a histogram after I extract the LBP feature?

Hello everyone, I am currently working on an age-invariant face recognition system. I started off implementing a face detection algorithm, then close cropping it, and turning it into a grayscale image. Then I applied LBP feature extraction and normalized the histogram. Now I want to save all the value of the histogram for further face recognition process. Here are my codes .

clear all

clc

%Detect objects using Viola-Jones Algorithm

%image directory

imgdir = 'C:\Users\PC\Documents\MATLAB\testingimage';

DestDir = 'C:\Users\PC\Documents\MATLAB\croppedimage';

%To detect Face

FDetect = vision.CascadeObjectDetector;

I = imread('sub1img1.jpg');

%Returns Bounding Box values based on number of objects

BB = step(FDetect,I);

for i = 1:size(BB,1)

    rectangle('Position',BB(i,:),'LineWidth',5,'LineStyle','-','EdgeColor','r');

    croppedimage = imcrop(I,BB(i,:));

   %check if image is gray, if not, convert to gray

    if size(croppedimage, 3) == 3

        croppedimage = rgb2gray(croppedimage);

    end

end

% Apply local binary pattern feature extraction

mapping = getmapping(8,'u2');

H1 = lbp(croppedimage,1,8,mapping,'nh'); %LBP histogram in (8,1) neighborhood

%stem(H1); %using uniform pattern

Answer 1

[Soma Ardhanareeswaran]

You can save the workspace variables and retrieve it into MATLAB using the 'save' and 'load' commands. Refer to https://www.mathworks.com/help/matlab/matlab_env/save-load-and-delete-workspace-variables.html