i am contacting you Geeks hoping that you can help me with your opinion about a use case,
i am in internship period and i’m working on a signature verification problem,
this process needs real and forged signature,
and all i have is real signature (like 30 signature per person), and i have to generate fake signature (forged) from those real one in order to augment data and balance it for the main purpose ,which is signature verification,
and during my search i found amazing videos explaining GANS and conditional gans , pix2pix …
and i’m wondering if you have an idea how to fit this model or an other approach to generate forged signature close to the real one but not as match as real ,
her is an example to clear the view a little bit,
those are the 3 images real for person 8 (img1,9,17)
and those are the forged one :
those examples are token from cedar dataset,
hope you can help with that ,
and keep up the good work geeks,