A Comparative Analysis of Signature Recognition Methods

Abstract

Signature recognition is the process of automatically identifying or verifying an individual's signature to determine its authenticity. The basic motivation of developing signature recognition systems is to check whether a signature has been done by an authorized user /genuine user or an unauthorized user/a forger. The objective of this chapter is to study different algorithms that are used to authenticate and authorize the signatures of the individual. For personal identification and verification, Signatures are the most acceptable and economical way that is used for this purpose. Signature verification is used for documents like bank transactions and in offices as well. It is a huge time-consuming task for verifying a large number of documents. Hence the verification systems led to huge dramatic changes based on the physical characteristics and the behavioural characteristics of the individual. The verification methods used in the past suffer from flaws. This chapter provides a comparative analysis of various techniques used for recognizing signatures.