Improved Artificial Neural Network Algorithm for Offline Signature Verification

Identity theft is an invasive crime globally because most peo- ple have their information available online. Research has shown that an effective signature verification system can be used to mitigate the im- pact of identity theft on society. In this paper, we design an efficient sim- ilarity index to resolve the shortcomings of the existing measures in giv- ing high confidence in signature verification. The experiment shows the efficacy of the proposed method in verifying offline signatures using an artificial neural network approach.