In this paper, we propose DTW seg , a modified DTW algorithm based on a point-to-segment distance instead of the euclidean point-to-point distance. Applying DTW seg to online handwriting matching proves to be advantageous compared to other algorithms as it is less sensitive to differences between signals sampling rates occurring due to acquisition frequencies or handwriting speed. It eliminates the need for a commonly practiced resampling that omits an important dynamic part of the ductus. Experiments on IRONOFF french words dataset and FLOWCHARTS dataset show DTW seg to be least impacted by sampling rate alterations. We also propose a new benchmark of state-of-the-art methods on offline handwriting to online conversion based on our new proposed metric.