Handwritten signature verification based on contourlet
Yi Long · Computer Engineering and Applications Journal · 2009
Handwritten Signature Verification(HSV) is a discipline which aims to validate the identity of writers according to the handwriting styles.Compared with on-line HSV,off-line HSV is less limited in equipment involvement and can be applied in more fields.Nevertheless,it is more difficult to manipulate than on-line HSV due to the loss of dynamic information during the writing process.This paper focuses on off-line HSV and presents a new feature selection method based on Contourlet,which gives full play to the merits of both conventional structure feature and statistical feature.After dimensionality reduction to extracted eigenvector by K-L transform,genuine signatures and forgeries are distinguished through Support Vector Machines(SVM).The re- sult of the experiment has confirmed the effectiveness of the proposed approach.