Using landmarks to establish a point-to-point correspondence between signatures

This paper introduces a new approach fur point-to-point correspondence find ing, which can be used as: pre-processing stage ui a handwritten signature verification procedure. This approach provides a solid basis for comparing function features of two handwritten signatures. Corner points of the signa tures are first extracted based on velocity information. The characteristic s of curvilinear velocity and angular velocity are combined successfully by functions based on membership criteria. The signatures to be compared are then segmented at landmarks obtained by corner matching based on similarity measures. In the last seep, the corresponding pairs of segments are mapped by a point-to-point matching algorithm, minimising a curve deformation ene rgy. The techniques described were applied to a set of 188 signatures from 19 volunteers. The resulting point-to-point matching of signature pairs was satisfactory in all cases where there was a visual agreement between the s ignatures.