Off line writer identification based on graphometric parameters
José L. Vásquez, Carlos M. Travieso, Jesús B. Alonso · 2013
In this work is proposed a writer identification approach based on graphometrical and forensic features. The proposal replies to an off-line system, where the handwriting is provided before to perform the analysis. An Artificial Neural Network is used as classifier and after the decision fusion module, the system reaches up to 94.6% of success rate for a own database composed by 100 users with 10 samples per each one.