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A conformable moments-based deep learning system for forged handwriting detection

Detecting forged handwriting is important in a wide variety of machine learning applications, and it is challenging when the input images are degraded with noise and blur. This article presents a new model based on conformable moments (CMs) and deep ensemble neural networks (DENNs) for forged handwr...

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Bibliographic Details
Main Authors: Nandanwar, Lokesh, Shivakumara, Palaiahnakote, Jalab, Hamid A., Ibrahim, Rabha W., Raghavendra, Ramachandra, Pal, Umapada, Lu, Tong, Blumenstein, Michael
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/46097/
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http://eprints.um.edu.my/46097/

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