The problem of automatic signature recognition has received little attention in comparison with the problem of signature verification, despite its potential applications for many business processes and can be used effectively in paperless office projects. This paper presents model-based off-line signature recognition with rotation invariant features. Non-linear rotation of signature patterns is...

The SVM is a new classification technique in the field of statistical learning theory which has been applied with success in pattern recognition applications like face and speaker recognition, while the HMM has been found to be a powerful statistical technique which is applied to handwriting recognition and signature verification. This paper reports on a comparison of the two classifiers in off...

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...

In this paper we are presenting a work concerning the classification and recognition of off-line signatures. Signatures form a special class of handwriting in which legible letters or words may be impossible to exhibit but we can extract some features with the help of some parameters. Our proposed fusion methodology for improving the classification and recognition performance of classifiers is ...

This review paper off-line signature verification and recognition using a new approach that depends on a artificial neural network which discriminate between two classes (i) forgery and (ii) original signature. The proposed scheme is based on the technique that applies pre-processing on the signature, feature point extraction and neural network training and finally verifies the authenticity of ...

In this paper we present the work developed on off-line signature verification as a continuation of a previous work using Left-to-Right Hidden Markov Models (LR-HMM) in order to extend those models to the field of static or off-line signature processing using results provided by image connectivity analysis. The chain encoding of perimeter points for each blob obtained by this analysis is an ord...

In this paper, a new invariant feature of two-dimensional contours is reported: the Invariance Signature. The Invariance Signature is a measure of the degree to which a contour is invariant under a variety of transformations, derived from the theory of Lie transformation groups. It is shown that the Invariance Signature is itself invariant under shift, rotation and scaling of the contour. Since...

The signature Recognition and verification system is used to recognize and verify individual’s handwritten signature. Now a day’s handwritten signature is one of the most widely accepted personal attributes for identity verification. Signature verification provides authorization in financial and business transaction. Signature verification finds its application in the field of net banking, pass...

In this paper we describe a real-time gesture recognition algorithm based on contour signature images, generated by collecting a set of contour signatures over time. Each contour signature is generated in each frame by computing the polar coordinates of each point of the contour in relation to the center of mass of that contour. The gesture recognition is reduced to the problem of finding the c...