Offline signature verification by the analysis of cursive strokes

In this paper, a method is proposed for offline signature verification. It is based on a smoothness criterion. It is observed that the cursive segment s of forgery signatures are generally less smooth and less natural than the genuine ones, especially for those signatures that consist elf cursive gra phic patterns. Two approaches are proposed to extract a smoothness feature: a crossing method and a fractal dimension method. When the proposed smooth ness feature is combined with other global shape features for signature ver ification, satisfactory results are obtained.