Information System for Graphological Identification

In this paper an automated information system is presented, that classifies scripts to corresponding writers using graphology. The methodology is based on the idea of creating a representative of each alphabet symbol in each script via proper fitting of all realizations of the specific symbol in it. The decision for writer identification is based on pair-wise comparisons of statistical quantities computed for all representatives. The system was applied to ancient Greek inscriptions of classical era which were correctly attributed to 6 different hands.