Signature Verification for Offline Skilled Forgeries Using Textural Features
Chawki Djeddi, Imran Siddiqi, Somaya Ali Al-Maadeed, Labiba Souici‐Meslati, Abdeljalil Gattal, Abdel Ennaji · 2015
This study explores the effectiveness of two texturalmeasurements on signature verification for skilled forgeries. These texture features include 2D autoregressive coefficients andrun-length distributions. Signature images corresponding to 521writers from the GPDS960 database were used to evaluate theperformance of these features. Comparison of the proposedtextural features with a number of state-of-the-art featuresrealized interesting results. The run-length features outperformother features for a sufficient number of genuine signatures inthe training dataset.