Engg Journals Publications
In this paper, the authors present an off-line signature verification and recognition system based on a combination of features extracted such as blob features, average of radon transform, fusion of grid and global features using average and clustering technique. The system is trained using a database of signatures. For each person, a feature vector is obtained from a set of the user genuine samples using the features that were extracted. The signature is then used as a template which is used to verify a claimed signature.