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1. A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors

2. Dynamic Signature Verification Using Selected Regions

5. Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms

6. A new algorithm for identity verification based on the analysis of a handwritten dynamic signature

7. The Dynamic Signature Verification Using population-Based Vertical Partitioning

8. Signature Partitioning Using Selected Population-Based Algorithms

9. Evaluating Neural Network Models For Predicting Dynamic Signature Signals

10. The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms

13. A Method for Genetic Selection of the Dynamic Signature Global Features’ Subset

14. Stability of Features Describing the Dynamic Signature Biometric Attribute

17. A Method for Changes Prediction of the Dynamic Signature Global Features over Time

18. A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature

19. Stability Evaluation of the Dynamic Signature Partitions Over Time

23. A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features

24. An Idea of the Dynamic Signature Verification Based on a Hybrid Approach

28. New Method for Dynamic Signature Verification Using Hybrid Partitioning

29. New Method for Dynamic Signature Verification Based on Global Features

32. Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups

33. A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling

34. New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning

35. New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features

36. Novel Algorithm for the On-Line Signature Verification

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