In this work, a new approach for off-line signature recognition and verification is presented and described. A subset of the line, concave and convex family of curvature features is used to represent the signatures. Two major constraints are applied to the feature extraction algorithm in order to model the two step transitional probabilities of the signature pixels. Segmentation of the signatur...

In our previous research work, an individual recognition system with writing pressure employing neurotemplate of multiplayer feedforward network with sigmoid function has been developed. Although this system was effective on recognition for known registrant, its rejection capability for counterfeit signature was not good enough for commercial application. In this paper, a new activation functio...

Motion trajectory can be an informative and descriptive clue that is suitable for the characterization of motion. Studying motion trajectory for effective motion description and recognition is important in many applications. For instance, motion trajectory can play an important role in the representation, recognition and learning of most long-term human or robot actions, behaviors and activitie...

This paper proposed feature extraction method based on centre of gravity for offline signature. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem. Signature probably is one of the oldest biometric recognition methods, with high legal acceptance Signature has been a distinguishing feature for person identification through ages. ...

Signatures of individuals play an important role in financial, commercial and legal transactions and hence require a secured recognition and verification system. This paper presents a novel approach towards signature recognition using Fourier Descriptors. The signature image is enclosed in a closed contour and the Fourier terms of these contours are computed by representing the contour in a com...

This paper deals with hand posture recognition. Thanks to an adequate setup, we afford a database of hand photographs. We propose a novel contour signature, obtained by transforming the image content into several signals. The proposed signature is invariant to translation, rotation, and scaling. It can be used for posture classification purposes. We generate this signature out of photographs of...