A confidence-guided diffusion framework generates synthetic Bangla compound characters that, when filtered and added to training data, raise classifier accuracy to 89.2% on the AIBangla dataset.
Bangla handwritten compound character recognition using handcrafted features and support vector machines.International Journal of Computer Applications
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Confidence-Guided Diffusion Augmentation for Enhanced Bangla Compound Character Recognition
A confidence-guided diffusion framework generates synthetic Bangla compound characters that, when filtered and added to training data, raise classifier accuracy to 89.2% on the AIBangla dataset.