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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/46097/ |
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