Even though most areas, including land records, agreements between parties, legal certificates, identification cards, etc., are moving toward digital documents with signatures for authentication, uses only a signature written by hand. Verifying is crucial because false would have significant impact on the actual owner. Therefore, it essential to recognize genuine in order avoid such frauds. In ...

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...

In this paper we evaluate the impact of two stateof-the-art offline signature verification systems which are based on local and global features, respectively. It is important to take into account the real world needs of Forensic Handwriting Examiners (FHEs). In forensic scenarios, the FHEs have to make decisions not only about forged and genuine signatures but also about disguised signatures, i...

Since many applications require the verification of large sets of signatures, it is sometimes advantageous to perform a simultaneous verification instead of checking each signature individually. The simultaneous processing, called batching, must be provably equivalent to the sequential verification of all signatures. In eurocrypt’98, Bellare et al. [1] presented a fast RSA batch verification sc...

Now a day’s Signature verification is one of the most important features for checking the authenticity of a person. There are many security checking parameters like pin code, password, finger print checking but signature recognition is the most popular because it is quite accurate and cost efficient too. On the other hand one doesn’t have to remember the authentication key like pin code or pass...

Many studies have been conducted on Handwritten Signature Verification. Researchers have taken many different approaches to accurately identify valid signatures from skilled forgeries, which closely resemble the real signature. The purpose of this paper is to suggest a method for validating written signatures on bank checks. This model uses a convolutional neural network (CNN) to analyze pixels...

Stroke extraction is a necessary part of the majority of semantic based off-line signature verification systems. This paper discusses some stroke extraction variants which can be efficiently used in such environments. First the different aspects and problems of signature verification are discussed in conjunction with off-line analysis methods. It is shown, that on-line analysis methods perform ...

Batista, L. , Rivard D. , Sabourin R. , Granger E. , Maupin P. 2007. State of the art in off-line signature verification. In: Verma B. , Blumenstein M. (eds. ), Pattern Recognition Technologies and Applications: Recent Advances, (1e). IGI Global, Hershey (2007) Coetzer J. , Herbst B. , & du Preez J. 2004. Off-line signature verification using the discrete radon transform and a hidden Markov mod...