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Rethinking Handwritten Character Recognition
Author1, Author2, Author3, Author4, Author5
HCRmulti-scriptneural networksarchitectural inductive biases
2609.10572
Builder Relevance
4h ago80%
Abstract
This paper introduces GraphemeNet, a novel architecture for non-Latin handwritten character recognition that leverages structural-prior efficiency to improve accuracy and reduce parameters.
Reality Card
Core Claim
GraphemeNet outperforms published baselines on fourteen benchmarks across eight writing systems by effectively integrating stroke-level geometric regularity into its architecture.
Method / Result
Achieved state-of-the-art performance on fourteen benchmarks.
Limitations
The architecture's reliance on script-specific geometric regularities may limit its applicability to scripts not represented in the training data.
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