currency recognition using image Processing Techniques in matlab

I am getting "Unrecognized function or variable 'dist'".

Is there an atler for dist or what should i change in this code for it to work.

clear all;
close all;
clc;
[imname,impath]=uigetfile({'*.jpg;*.png'});
im=imread([impath,'/',imname]);
%preprocessing
%resize image
im=imresize(im,[128 128]);
%remove noise;
%seperate channels
 r_channel=im(:,:,1);
 b_channel=im(:,:,2);
 g_channel=im(:,:,3);
 %denoise each channel
 r_channel=medfilt2(r_channel);
 g_channel=medfilt2(g_channel);
 b_channel=medfilt2(b_channel);
 %restore channels
 rgbim(:,:,1)=r_channel;
 rgbim(:,:,2)=g_channel;
 rgbim(:,:,3)=b_channel;
 %featureextraction
fet=totalfeature(rgbim);
load db;
k=length(currency);
%disp(k);
for j=1:k
   % disp(j)
    D(j)=dist(fet',currency(1,j).feature);
end
[value,index]=min(D);
if value<.001
   currency_name=currency(index).name;
   fprintf('recognized currency is : ');
   disp(currency_name)
else
    disp('no matches found');
end
 
    

[KSSV]

To have the function dist you need to have nnet toolbox. Do you have it? Try

which dist 

/MATLAB/toolbox/nnet/nnet/nndistance/dist.m

[sneha sharavan]

i downloaded Deep learning toolbox and its working now . Thanks.

Answer 1

[Walter Roberson]

You seem to be using https://www.mathworks.com/matlabcentral/fileexchange/47143-currency-recognition which does not define a dist() function

There is a dist() function that is part of the Neural Network Toolbox, which might possibly be the one being used.

[sneha sharavan]

I downloaded Deep learning toolbox and its working now .Thanks

[sneha sharavan]

[sneha sharavan]

THe currency is added in Db. any idea on this?

[sneha sharavan]

It is working now. no problem . thanks

Answer 2

[KSSV]

dist is a simple function, this calculates Euclidean distance weight function. You can do it on your own.

The Euclidean distance d between two vectors X and Y is:

d = sum((x-y).^2).^0.5

Tha above is taken from the docmunetation. You can read it and make a function on your own.

[sneha sharavan]

Thank you.