no code implementations • 20 May 2024 • Antonio Parziale, Moises Diaz, Miguel A. Ferrer, Angelo Marcelli
Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements performed during multiple execution of the subject's signature, and conjecture that the most stable parts of the signature should play a paramount role in evaluating the similarity between a questioned signature and the reference ones during signature verification.
no code implementations • 27 Jan 2024 • Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale, Angelo Marcelli
New methods for generating synthetic handwriting images for biometric applications have recently been developed.
no code implementations • 8 Dec 2023 • Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio, Angelo Marcelli, Alicia Fornés, Lladós
Lately, more works are directed towards guided data synthetic generation, a generation that uses the domain and data knowledge to generate realistic data that can be useful to train deep learning models.
no code implementations • 21 Sep 2022 • Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli
Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts.