In the era of emergent technology, security is that the foremost anxiety to avoid replicas and counterfeits. There are diverse Biometric systems that enable in personal identification, amongst those verification systems, one system is Signature Verification System. Signatures are substantiated discrimination on-line and offline systems. Every human being has their own writing style and hence th...

In today’s world it is necessary to protect one’s authenticity in order ensure the protection of personal information that only authenticate credentials a person can have access to. Nowadays there an increase number malpractices like signature forgery important person. To encounter verification problem, been advances verifying using various techniques including Machine Learning and Deep Learnin...

In the modern age, technological advancement reached a new limit where authentication plays vital role in security management. Biometric-based is most referenced procedure for signature verification significant part of it person. To prevent falsification signatures on important documents & legal transactions necessary to recognize person's accurately. This paper focused recognizing offline ...

Handwritten Signature Verification (HSV) is a natural and trusted method for user identity verification. HSV can be classified into two main categories: offline and online HSV. Offline systems take handwritten signatures from scanned documents, while online systems use specific hardware (e.g., pen tablets) to register pen movements during the act of signing. Online HSV systems may embed signatu...

Handwriting is a skill that is highly personal to individuals and consists of graphical marks on the surface in relation to a particular language. Signatures of the same person can vary with time and state of mind. Several studies have come up with several methods on how to detect forgeries in signatures given to the security implication of signatures to daily business and personal transactions...

The paper presents to address this challenge, we have proposed the use of Adaptive Window Positioning technique which focuses on not just the meaning of the handwritten signature but also on the individuality of the writer. This innovative technique divides the handwritten signature into 13 small windows of size nxn (13x13). This size should be large enough to contain ample information about th...

Handwritten signature is one of the most widely used biometric traits for authentication of person as well as document. In this paper we discuss issues regarding off-line signature recognitions. We review existing techniques, their performance and method for feature extraction. We discuss a system designed using cluster based global features which is a multi algorithmic offline signature recogn...

Development of a Character recognition system for Devnagri is difficult because (i) there are about 350 basic, modified (“matra”) and compound character shapes in the script and (ii) the characters in a words are topologically connected. Here focus is on the recognition of offline handwritten Hindi characters that can be used in common applications like bank cheques, commercial forms, governmen...

Signatures were considered an important tool for authenticating the identity of human beings. So, signature verification was one of the biggest uses for that. We proposed an algorithmic approach for the verification of handwritten signatures by applying some statistical methods. The research work was based on the collection of set of signatures from which an average signature was obtained based...