Signature is commonly accepted as a means of verifying the legality of documents such as certificates, checks, drafts, letters, approvals, etc. The pre-trained CNN model, GoogleNet is used for the experiment and the TensorFlow platform is used. GoogleNet model consists of two parts; a classification layer and a feature extraction layer. The parameters on the classification layer are removed and trained with the transfer values from the feature extraction layer of the model. Problems in countering the forgery and falsification of such documents in diverse financial, legal, academic, and other commercial settings.