Constructing a high performance signature verification system using a GA method

To realize a high-peformance automatic signature verification system, it is necessary that the selected features are potentially difficult to imitate. One of the advantages of online signature verification is that the virtual strokes which are left in the pen-up situation can be obtained. These virtual strokes can be memorized by the computer but are invisible to humans. So there is little possibility of imitating these strokes deliberately. The features included in such strokes are expected to realize a high verification performance. This paper proposes to find the optimal features for signature verification from these virtual strokes by using a genetic algorithm (GA). Experiments are carried out to show the effectiveness of the new method