Forgery of signatures remains a prevalent issue in various sectors such as banking, legal, and governmental agencies, leading to significant financial losses and legal complications. Many properties of a signature may vary even when two signatures are made by same person. So, detecting a forgery becomes a challenging task. Hence, the proposed solution detects fake signatures using VGG-16 for properties extraction and convolution neural network for signature verification process, thus building an automated system which accurately detects whether a handwritten signature is real or forged.