Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Marcelli, Angelo"'
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Volume 7, number 4, Pages 171-184, 2022
The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. Complex specimens can res
Externí odkaz:
http://arxiv.org/abs/2406.03194
Publikováno v:
Pattern Recognition Letters, Volume: 121, Pages 113-122 (2019)
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 conj
Externí odkaz:
http://arxiv.org/abs/2405.11978
Publikováno v:
Pattern Recognition 68, p.p 233 - 244 (2017)
New methods for generating synthetic handwriting images for biometric applications have recently been developed. The temporal evolution of handwriting from childhood to adulthood is usually left unexplored in these works. This paper proposes a novel
Externí odkaz:
http://arxiv.org/abs/2401.15472
Autor:
Bensalah, Asma, Parziale, Antonio, De Gregorio, Giuseppe, Marcelli, Angelo, Fornés, Alicia, Lladós
During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detection and diagnosis in the health field. Unfortunately, most real case
Externí odkaz:
http://arxiv.org/abs/2312.05086
Autor:
De Gregorio, Giuseppe, Biswas, Sanket, Souibgui, Mohamed Ali, Bensalah, Asma, Lladós, Josep, Fornés, Alicia, Marcelli, Angelo
Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts. This is mainly because of the scarcity of available labelled data to train the data-hungry Handwritten Text Recognition (
Externí odkaz:
http://arxiv.org/abs/2209.10441
Autor:
Cilia, Nicole D., De Gregorio, Giuseppe, De Stefano, Claudio, Fontanella, Francesco, Marcelli, Angelo, Parziale, Antonio
Publikováno v:
In Engineering Applications of Artificial Intelligence May 2022 111
Akademický článek
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Autor:
Senatore, Rosa, Marcelli, Angelo
Publikováno v:
In Human Movement Science June 2019 65
Publikováno v:
Brain Informatics; 1/29/2024, Vol. 11 Issue 1, p1-20, 20p
Akademický článek
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