Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network

- Dynamic variable is introduced to static signature images with DRT reconstruction.
- Feature data length is reduced through linear compression (PCA).
- PNN is feasible to filter the skilled forgery from the genuine signature.
- Time complexity is decreased notably with one-training-sample scheme.