Abstract: In this study, the effects of using handheld devices on the performance of automatic signature verification systems are studied. The authors compare the discriminative power of global and local signature features between mobile devices and pen tablets, which are the prevalent acquisition device in the research literature. Individual feature discriminant ratios and feature selection techniques are used for comparison. Experiments are conducted on standard signature benchmark databases (BioSecure database) and a state-of-the-art device (Samsung Galaxy Note). Results show a decrease in the feature discriminative power and a higher verification error rate on handheld devices. It is found that one of the main causes of performance degradation on handheld devices is the absence of pen-up trajectory information (i.e. data acquired when the pen tip is not in contact with the writing surface).
Martinez-Diaz et al. REF compared the performance of global and local features in terms of signature verification on the mobile device and the pen tablet, and found that the verification method achieved a lower accuracy in the case of mobile device.
Mobile signature verification: feature robustness and performance comparison
IET Biom.
IET Biom.
Computer Science