Dynamic signature recognition based on smart mobile devices

In order to recognize the dynamic signature on mobile terminals, a method based on the match of polar angle characteristics was applied. Firstly, a polar coordinate system was established under the centroid of signature and the centroid of the golden section. Secondly, the Cartesian coordinates which were acquired from mobile terminals were transformed to polar coordinates. Then the extreme points of polar angle characteristics were extracted and used to separate the whole signature. Finally, the integral similarity was obtained between the sample signature and template signature by calculating the similarity of all parts of these two signatures, which can be used to judge whether the sample signature and template signature were made by the same person. The experiment results show that the average false rejection rate of the method is 6.93% while the false acceptance rate is 11.26%, so the method can be applied to recognize the dynamic signature on mobile terminals effectively.