Signature recognition is probably the oldest biometrical identification method with a high legal acceptance. Although automated signature verification has been studied for more than 30 years this field still lacks the necessary formalization to evaluate and compare different signature verification systems. Our research aims separating the steps of signature verification and dissecting the monol...

with the increase of communication and financial transaction through internet, on-line signature verification is an accepted biometric technology for access control and plays a significant role in authenticity and authorization in modernized society. therefore, fast and precise algorithms for the signature verification are very attractive. the goal of this paper is modeling of velocity signal t...

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...

Although widely used to reduce error rates of difficult pattern recognition problems, multiple classifier systems are not in widespread use in off-line signature verification. In this paper, a two-stage off-line signature verification system based on dissimilarity representation is proposed. In the first stage, a set of discrete HMMs trained with different number of states and/or different code...

In this paper we present the work developed on offline signature verification using Hidden Markov Models (HMM)[1]. HMM is a well-known technique used by other biometric features, for instance, in speaker recognition and dynamic or on-line signature verification. Our goal here is to extend Left-to-Right (LR)-HMM to the field of static or off-line signature processing using results provided by im...

Stability and style variation are important characteristics in handwriting analysis and recognition. This paper describes a stability modeling technique of handwritings in the context of on-line signature veri cation. With this technique, the stability and style-variation characteristics of the reference samples are deduced from the dynamic warping relationship between the sequences of basic ha...

A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural network structure. Relative position and orientation information is extracted from a symbol image using a modified Hough Transform (HT). This information is transformed and compressed into a compact, 1-D signature vector that is i...

In this paper, an on-line signature verification scheme based on similarity measurement of logarithmic spectrum is proposed. The principal components of the logarithmic spectrum of each signature are extracted. We then compute the similarity of logarithmic spectrum between input signature and the reference template. By comparing the similarity of logarithmic spectrum with the verification thres...

The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. Various complex methodologies in the past have been proposed for signature verification through feature extraction. This paper presents a new hybrid algorithm for signature verification which incorporates feed forward training of parameters derived through feature ext...