Identity authentication using improved online signature verification method
Pattern Recognition Letters
A comparative study on the consistency of features in on-line signature verification
Pattern Recognition Letters
On-line signature recognition based on VQ-DTW
Pattern Recognition
HMM-based on-line signature verification: Feature extraction and signature modeling
Pattern Recognition Letters
A novel local on-line signature verification system
Pattern Recognition Letters
Evolutionary Methods to Create Interpretable Modular System
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Ensemble of on-line signature matchers based on OverComplete feature generation
Expert Systems with Applications: An International Journal
Development of a Sigma-Lognormal representation for on-line signatures
Pattern Recognition
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
Biometric cryptosystem using function based on-line signature recognition
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Intelligent Systems Technologies and Applications
Weighted dynamic time warping for time series classification
Pattern Recognition
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Improving heat exchanger supervision using neural networks and rule based techniques
Expert Systems with Applications: An International Journal
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
IEEE Transactions on Fuzzy Systems
Novel algorithm for the on-line signature verification
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
A new method to construct of interpretable models of dynamic systems
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Velocity-Image Model for Online Signature Verification
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks
Correlation based dynamic time warping of multivariate time series
Expert Systems with Applications: An International Journal
Algorithm learning based neural network integrating feature selection and classification
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper we propose a new approach to identity verification based on the analysis of the dynamic signature. Considered problem seems to be particularly important in terms of biometrics. Effectiveness of signature verification significantly increases when dynamic characteristics of the signature are considered (e.g. velocity, pen pressure, etc.). These characteristics are individual for each user and difficult to forge. The effectiveness of the verification on the basis of an analysis of the dynamics of the signature can be further improved. A well-known way is to consider the characteristics of the signature in the sections called partitions. In this paper we propose a new method for identity verification which uses partitioning. Partitions represent time moments of signing of the user. In the classification process the partitions, in which the user created more stable reference signatures during acquisition phase, are more important. Other important features of our method are: using capabilities of fuzzy set theory and development on the basis of them the flexible neuro-fuzzy systems and interpretable classification system for final signature classification. In this paper we have included the simulation results for the two currently available databases of dynamic signatures: free SVC2004 and commercial BioSecure database.