Automatic on-line signature verification based on multiple models

The paper proposes an automatic on-line signature verification system based on multiple models, a frequency function model, a shape-related parameter model, and a dynamics-related parameter model. This system uses fuzzy logic instead of the traditional Euclidean distance metric for comparison, and uses a personalized feature selection algorithm based on the DP function for parameter model building. From the statistical results it is concluded that fuzzy logic, the personalized feature selection algorithm based on the DP function and the multiple models method are helpful for automatic on-line signature verification.