Abstract:
Signature verification is the process of using machine learning methods to
validate the authenticity of an individual's signature. Signatures can be of one of
the two types; on-line or off-line, and this project focuses on off-line signature
verification. Aim of this project is to design an algorithm which can distinguish
between genuine and forged signatures using writer independent features, and to
develop a system using this algorithm which can be used to verify signatures on
bank cheques. We intend to build a complete end-to-end hardware/software system
which can be used to acquire signatures from bank cheques, perform signature
verification, and display the results. For this purpose, various deep learning
techniques were developed and tested on standard datasets for off-line signature
verification, as well as on a dataset collected by ourselves.
