According to the growth of users' needs for security and human-machine interaction, many automated user verification method have been developed based on biometrics. One of the representative methods among them is on-line signature recognition. But, the previous on-line signature recognition methods require too much complex processing so that it is not well suited for the simple and fast process...

With the widespread diffusion of biometrics-based recognition systems, there is an increasing awareness of the risks associated with the use of biometric data. Significant efforts are therefore being dedicated to the design of algorithms and architectures able to secure the biometric characteristics, and to guarantee the necessary privacy to their owners. In this work we discuss a protected on-...

In this paper, we present an off-line signature recognition and verification system which is based on moment invariant method and ANN. Two separate neural networks are designed; one for signature recognition, and another for verification (i.e. for detecting forgery). Both networks use a four-step process. First step is to separate the signature from its background. Second step performs normaliz...

This paper present a novel off-line signature recognition method based on multi scale Fourier Descriptor and wavelet transform . The main steps of constructing a signature recognition system are discussed and experiments on real data sets show that the average error rate can reach 1%. Finally we compare 8 distance measures between feature vectors with respect to the recognition performance. a)

Signature is the easiest way to issue the document. The problem of handwritten signature verification is a pattern recognition task used to differentiate two classes of original and fake signatures. The subject of interest in this study is about signature recognition that deals with the process of verifying the written signature patterns of human individuals and specifically between right-hande...

O!-line signature recognition and veri"cation is an important part of many business processes. It can be used in many applications such as cheques, certi"cates, contracts and historical documents. In this paper, a system of two separate phases for signature recognition and veri"cation is developed. A recognition technique is developed based on a multistage classi"er and a combination of global ...

On-line signature verification still remains a challenging task within biometrics. Due to their behavioural nature (opposed to anatomic biometric traits), signatures present a notable variability even between successive realizations. This leads to higher error rates than other largely used modalities such as iris or fingerprints and is one of the main reasons for the relatively slow deployment ...

A novel fast method for line segment extraction based on chain code representation of thinned sketches (or edge maps) is presented and exploited for Persian signature recognition. The method has a parallel nature and can be employed on parallel machines. It breaks the macro chains into several micro chains after applying shifting, smoothing and differentiating. The micro chains are then approxi...