ASLvid.m

clc;
clear all;
close all;

%% Add training and test directories to path
addpath('./data');
% addpath('./data1');
zin=input('how many worDs you wish to speak: ');
for i=1:zin
%% Input Image


       
 vid=videoinput('winvideo',1,'YUY2_640x480');
 preview(vid);
 pause(10);
 img1 = getsnapshot(vid);
 img1 = ycbcr2rgb(img1);
 closepreview(vid)
%img1 = imread('B3.bmp');
%% Define variables
cAlpha = [{'A'},{'B'},{'C'},{'D'},{'E'},{'F'},{'G'},{'H'},{'I'},{'K'},{'L'},{'M'},{'N'},{'O'},{'P'},{'Q'},{'R'},{'S'},{'T'},{'U'},{'V'},{'W'},{'X'},{'Y'},{'ONE'},{'TWO'},{'THREE'},{'FOUR'},{'FIVE'},{'SIX'},{'SEVEN'},{'EIGHT'},{'NINE'},{'meet'},{'CLOSE'},{'MORE'},{'YOU'},{('OPEN')},{('BREAK')},{('GAMES')},{('WORK')},{('DOCTER')}];%No of alphabet used for data
% cAlpha =
% [{'A'},{'B'},{'C'},{'D'},{'G'},{'H'},{'O'},{'U'},{'V'},{'W'},{'Y'}];%No of alphabet used for data1
nTrainingSamples = 4;%No of training Images we are using.
nRows = 100;%No of rows for the images
nColumns = 100;%No of columns for the images
ImgMat = zeros(size(cAlpha,2),nTrainingSamples);%Initialize image matrix

%% Perform preprocessing of images and compare them
ll = 1;
l2 = 1;
for ii = 1:size(cAlpha,2)
    for jj = 1:nTrainingSamples 
        sFilename = strcat(cAlpha(ii),int2str(jj),'.bmp');%Form filename 
        ColorImg = imread(char(sFilename));%RGB 24 bit image
        [FinalImg prob] = preprocessing(img1,ColorImg,nRows,nColumns);%Find skin thresholded regions
        ImgMat(l2,ll) = prob;%Store image as column matrix in ImgMat
        ll = ll + 1;%Move on to next column
    end
    Imgmean(l2,1) = mean(ImgMat(l2,:));
    ll = 1;
    l2 = l2+1;
end
ImgMat;
Imgmean
[m n] = max(ImgMat);
[max count] = max(Imgmean);
ind_max = n(1);
ave_max=count

ImgMat=zeros(l2-1,ll-1);
%% Display Input and Matched Output

    f = figure();
    set(gca, 'fontsize', 10);            
    set(f,'name','Output')
    subplot (1,3,1)
    imshow(img1);
    title('Input image','fontsize', 10)
    subplot (1,3,3)
    RecongImg = strcat(cAlpha(ave_max),'1.bmp');
    imshow(char(RecongImg)); 
    title(strcat('Recognise gesture is ,',cAlpha(ave_max)),'fontsize', 10);
    spech = strcat('Recognise gesture is ',cAlpha(ave_max));
    tts(spech);
    end