asking about the matlab code for training Pattern Recognition for bank note using Back propagation

I am working in bank note (using pattern recognition), and I would like to training my neural network. by now I have divide each bank note for 4X12 split (parts) and I found the average for each parts. I have done the following step and I would like to know if I'm going on the right way or not and if there is any suggestion:

1\ I converted the 6 bank note to gray scale. 2\ I split each bank note to 4X12 parts. 3\ I calculated the average for each bank note image parts. 4\ I used bank note (head upright, head reversed, tail upright, tail reversed) for each bank note.

so would you help my in the matlab code for the input, traing the neural network and target, looking forward to hear from you soon, thanks.

[YIP]

Hello, I am doing the similar project. The recognition of the serial number in the bank notes. May I have the source code for your project?

Answer 1

[Greg Heath]

Single inputs to the net must be vectors of the same size. Therefore columnize your images using the (:) operator. Your input and target matrices should have the dimensions

[ I N ] = [ 48 24 ] = size(inputs)

[ O N ] = [ 6 24 ] = size(targets)

You can rearrange your 24 I/O column pairs anyway you want. For example,

targets = repmat(eye(6),1,4)

Hope this helps.

Thank you for formally accepting my answer

Greg

[Khalid]

Thank you very much, I will try that. if there is any similar code for such functional would you please send it to me in order to see the procedure.