Features representing information of High Pressure Points from a static image of a handwritten signature are analyzed for an offline verification system.From grayscale images, a new approach for High Pressure threshold estimation is proposed.Two images, one containing the High Pressure Points extracted and other with a binary version of the original signature, are transformed to polar coordinates where a pixel density ratio between them is calculated.Polar space had been divided into angular and radial segments, which permit a local analysis of the high pressure distribution.Finally two vectors containing the density distribution ratio are calculated for nearest and farthest points from geometric center of the original signature image.Experiments were carried out using a database containing signature from 160