How to create training data set for signature verification?

I have 5 genuine and 5 forged signatures of each of 12 people( total 60 genuine and 60 forged). I've extracted their features like moments and aspect ratios (7 features of each signature). So, how do I create a training data set? Create a column for each signature? Do I need to create 12 training sets for 12 people? How do I arrange those features I've extracted to train the network ? (P.S : I've done some image processing projects but I'm a bit new in neural networks.)

Please help. Thanks.

Answer 1

[Greg Heath]

 [  7 120 ] = size(input)

 [ 12 120 ] = size(target)

target columns are columns of eye(12)

Hope this helps

Thank you forformally accepting my answer

Greg

[sushant nepal]

I don't actually want to recognize signatures, i just want to verify them as in "legit or not", doesn't matter who it belongs to ... so does it really require a target data of 12 X 120 ?