Static Signature Verification and Recognition Through Artificial Neural Network

Abstract

For person identification, signature has always been a discriminating feature. Currently, due to advancement there is an increase of authorization via signatures for transaction, especially in the field of finance and business. Therefore, automatic signature verification and recognition should be developed if authenticity is verified and guaranteed successfully on regular terms. Nowadays, huge number of documents, for example: bank cheques, have to be authenticated in limited time but often the signature is unrealistic of the account’s holder in terms of manual verification. Authentication and authorization are the secure means that are provided by signatures. Hence, there is the need of identification systems and automatic signature verification. At the present time, people prefer drawing a shape as their signature instead of hand written signatures, as these are different from other textual type, since it does not have text in it. So, an unusual approach should be kept in account to process such signatures. The present research work is on Static signature recognition system signature verification and recognition have been signature recognition system.