9th International Conference on ICT for Sustainable Development

Authors - Juhi Nathani, Smit Madhani, Ishika Khokhani, Parag Patel, Shanthi Therese S.
Abstract - 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.