Signatures' stability evaluation in a multi-device scenario

On-line signatures can be acquired adopting specifically devoted stylus-pad system as well as with general purpose tablet/smartphone. The resulting acquired signal is strongly influenced by the device itself as well as by the user interaction modality. It is evident that it is desirable to identify the most stable features for verification aims. In this work, a set of 39 function feature domains is investigated in terms of stability adopting the weighted Direct Matching Points approach. Experiments have been performed on the e-biosign dataset providing many evidences related to the different scenarios.