On-line signature recognition based on VQ-DTW
Pattern Recognition
From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
On-line signature verification system with failure to enrol management
Pattern Recognition
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
IEEE Transactions on Fuzzy Systems
Velocity-Image Model for Online Signature Verification
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks
On-line signature verification using vertical signature partitioning
Expert Systems with Applications: An International Journal
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On-line signature is a biometric attribute used in a identity verification process. One of the most effective methods of signature verification is the method based on partitioning of signature trajectories. In this paper a concept of new approach to identity verification based on partitioning of trajectories is presented. In this approach signature is partitioned into subspaces which are weighted by weights of importance. The weights are used in classification process. Partitions associated with high values of weight have greater importance in classification process than partitions associated with low weight values. The algorithm was tested with use of public on-line signature database SVC 2004.