Offline Signature Verification using Siamese Neural Networks
Pooja Sharma · International journal of advance research and innovative ideas in education · 2020
Handwritten signature verification is an emerging area, every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: online and offline. Online signatures consist of sequences of point coordinates which are followed by the pen, and they are obtained by electronic means when signing. Off-line signatures are images obtained after scanning a signed document and there is not any dynamic information from the act of signing Moreover, the off-line verification of handwritten signatures still remains a challenging open problem.in the field of the financial, commercial and for the legal matters. Signature by any person considered as the approval for any work so the signature is the preferred authentication. In this paper signature verification is done by means of image processing, feature extraction and by using neural network technique.