International Journal of Science, Engineering and TechnologyHand Written Signature Verification Using Deep Learning
Authors- Associate Professor S.R. Raja, G. Narmadha
Abstract-Even though people are moving to digital documents with digital signature for authentication, most of the areas such as land records, agreement between parties, legal certificates, identification cards etc., uses only handwritten signature. Verifying signatures is an important step because a fraudulent signature would negatively impact the true owner. Hence, recognizing genuine signatures becomes essential to avoid such frauds. To recognize the signature, deep learning technique is used in this project since it produces highest accuracy and it does not require too much preprocessing. A convolutional neural network (CNN) based deep learning model is mostly used for image processing, classification, and segmentation. Therefore, in this project, we’ll combine CNN, Deep Neural Networks, VGG16, and Image Processing to create a reliable system for recognizing signatures.
DOI: /10.61463/ijset.vol.12.issue6.344
