This research comes out with an in-depth review of widely used techniques to handwritten
signature verification based, feature selection techniques. The focus of this research is to …

This study presents a new online signature verification system based on fuzzy modelling of
shape and dynamic features extracted from online signature data. Instead of extracting these …

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 …

Recognizing hand-written signature is important due to several legal issues. Manual
verification is often difficult when very much 'similar-looking'but forged signature is produced …

Signature verification is an important part of digital forensics. In order to solve the
shortcomings of manual identification in technical accuracy and subjectivity, this paper …

In recent years, due to the extraordinary diffusion of the internet in our daily life and
simultaneously growing need of personal verification in many daily applications has driven …

Signature (Latin-signare) is a handwritten stylized form of identification of its owner. Often
handwritten signatures are generally used in secured identity preservation. An ideal …

Signature verification is a crucial aspect of digital forensics as it helps identify an individual's
identity when validating various documents such as bank cheques. Since signatures are …

The goal of this research is to explore effects of dimensionality reduction and feature
selection on the problem of script identification from images of printed documents. The k …

This paper presents a novel approach to monitor food process based on Modular Neural
Networks (MNNs) and fuzzy inference system. The proposed MNN consists of three …