Static digital signature recognition and verification using neural networks
Prachi Chauhan, Subhash Chandra, Sushila Maheshkar · 2016
Biometrics play a crucial role in establishing an individuals identity. A signature is one of the most widely recognized way to authorize transactions and authenticate the human identity as compared to other electronic identification methods such as fingerprint and retina scans. Due to a huge demand for authentication, fast algorithms need to be assimilated for signature recognition and verification. Human signatures can be treated as an image and the techniques of neural networks can be applied to them for recognition and verification. This paper exploits a database of samples of offline signatures that are captured in an image format and this database is used to train the neural network.