Off-line handwriting recognition has wider applications than on-line recognition, yet it seems to be a harder problem. While on-line recognition is based on pen trajectory data, off-line recognition has to rely on pixel data only. We present a comparison between an off-line and an on-line recognition system using the same databases and system design. Both systems use a sliding window technique ...

Dynamic signature recognition is one of the commonly used biometric traits. In this paper we propose use of Gabor filters based feature for verification of dynamic signature. We incorporate the timing information available in the signature along with the Gabor filter response to generate the feature vector. Gabor filters have been widely used for image, texture analysis. Here we present analysi...

This paper describes a unique method of recognizing common patterns among various images. It makes use of signatures of images which enables it to overcome the problem of different features ordering and appearance of noisy and less expressive features. It discusses two different methods of finding common set of data among various signatures. It has been then concluded that the proposed algorith...

Off-line signature verification methods have to tackle with a number of high resolution images, therefore it is vital to use efficient image processing algorithms. This paper proposes a heuristic stroke extraction algorithm to create a compact representation of the signature whilst minimizing the loss of semantic information and the computational needs. Some issues of the algorithm are highligh...

In the modern age, technological advancement reached a new limit where authentication plays vital role in security management. Biometric-based is most referenced procedure for signature verification significant part of it person. To prevent falsification signatures on important documents & legal transactions necessary to recognize person's accurately. This paper focused recognizing offline ...