A SVM Based Offline Signature Verification System

In this paper, we propose a new method for signature verification using local transform.The proposed method uses transform locally as feature extractor and Support Vector Machine (SVM) as classifier.The main idea of our method is using transform locally for feature extraction, against using it globally.The advantages of the proposed method are robustness to noise, size invariance and shift invariance.Having used a dataset of 750 signatures from 50 Persian writers, our system achieves good results.The experimental results of our method are compared with other methods.This comparison shows that our method has good performance for signature identification and verification in different cultures.