6 Abstract:The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. There are various approaches to signature recognition with a lot of scope of research. In this paper, off-line signature recognition & verification using neural network is proposed, where the signature is captured and presented to the user in an image forma...

For identification of a particular human being signatures prove to be an important biometric. The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. However human signatures can be handled as an image and recognized using computer vision and neural network techniques. With modern computers, there is need to develop fast a...

This article describes a method of an off-line signature recognition by using parameterize Hough transform. From human nature, signatures are performed very fast by the person, and hence have a lot of straight-line segments within them. The faster that a person signs their name, the more straight lines will be present in their signature. To detect the straight lines, the Hough transform is appl...

In this paper, a problem of personal authentication through the use of signature recognition is described. The methods of verification include both online (or dynamic) and off-line (static) signature verification algorithms. The dynamic methods covered, are based on the analysis of the shape, speed, stroke, pen pressure and timing information. While the static methods involve general shape reco...

Biometric authentication is a technology that has become significant in the high level of personal identity security. This paper provides signature recognition system. static system (SSRS). We have classified two ways. The first method uses genetic algorithm (GA), considering chromosome with 35 genes, and each feature gene. With applying processes GA between chromosomes formation generations se...

This paper proposes a simple adaptive off-line signature recognition method based on the feature analysis of extracted significant strokes for a given signature. Our system correctly decides on the majority of tested patterns, which include both simple and skilled forgeries. The presence of possible doubtful signatures (those ones on which is difficult to decide) is also considered. Experimenta...

Signatures are one of the most important techniques for biometric authentication. There two kinds signature nowadays, offline(static) and dynamic (online). greater distinctive characteristics offline signatures, but there less signatures. Offline signatures also harder to check. Furthermore, significant downside is that even talented signer does not sign same way. This called Intra-personal var...