Identification and verification system of offline handwritten signature using fractal approach

In this paper, we propose a new system for identification and verification of offline handwriting signature. The identification allows knowing the owner of such a signature, whereas the verification allows verifying the authenticity of a given signature. In recognition systems, the phase of feature extraction represents the most pertinent step. Therefore, we opted to use the fractal approach which is very sophisticated for objects with irregular forms. In this work, we have implemented three methods for calculating fractal dimensions. Experimental results have been assumed on a large database, namely, “FUM-PHSDB” showing promising result and demonstrating the effectiveness of the proposed system. These experiments show an identification rate of 95% and a verification rate of 83%.