Maergner, PaulPondenkandath, VinaychandranAlberti, MicheleLiwicki, MarcusRiesen, KasparIngold, RolfFischer, Andreas2024-03-212024-03-2120190167-865510.1016/J.PATREC.2019.06.024https://irf.fhnw.ch/handle/11654/42552Offline signature verification is a challenging pattern recognition task where a writer model is inferred using only a small number of genuine signatures. A combination of complementary writer models can make it more difficult for an attacker to deceive the verification system. In this work, we propose to combine a recent structural approach based on graph edit distance with a statistical approach based on deep triplet networks. The combination of the structural and statistical models achieve significant improvements in performance on four publicly available benchmark datasets, highlighting their complementary perspectives.en330 - Wirtschaft01A - Beitrag in wissenschaftlicher Zeitschrift527-533