Analysis of handwritten signature performances using mobile devices

This paper continue our previous work on on-line signature verification on portable devices. A database has been collected which contains data for 25 users, with 28 genuine and 25 skilled forged signatures per user, in 5 different devices. 4 portable devices of different sizes and screen technologies (capacitive and resistive) have been used. The 5^th device is a traditional digital pen tablet, to use as a baseline for results comparison. Two different algorithms, DTW and SVM, have been used to asses the performance of the signals captured on portable devices. Two main experiments using both algorithms and the 5 sub-databases have been done. The first experiment uses each database independently. The user model is created and tested with signatures of the same database. The second experiment creates the user model using signatures acquired with the digital pen tablet. Results of the first experiment achieve good error rates for random forgeries.