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Rethinking Handwritten Character Recognition

arxiv.org/abs/2609.10572

Updated 50 min ago · first seen 11 Sept 2026

paper_01M294H1M0SYT118JSFZY43C8D

Published
11 Sept 2026
T1 · 50 min ago
arXiv
2609.10572
T1 · 50 min ago
Category
cs.CV
T1 · 50 min ago

Abstract

Non-Latin handwritten character recognition (HCR) remains understudied. Dominant methods consider it as generic image classification, which uses model scale to implicitly learn stroke structure. Structural-prior efficiency---the principle that explicitly encoding script-geometric regularities as architectural inductive biases can be both more accurate and require fewer parameters. We introduce GraphemeNet, a unified multi-script architecture, governed by two orthogonal binary axes. Axis 1 operationalises stroke-level geometric regularity via Persistent Scaffold Injection (PSI): a script-specific asymmetric convolution injects a stroke scaffold as a weighted residual at every encoder stage, continuously anchoring learned features to script geometry---distinct from skip connections, auxiliary losses, or attention reweighting. Axis 2 selects between global average pooling with gated fusion and cross-scale attention with a Stroke Topology Module (STM), depending on whether glyph discrimination requires spatial relational reasoning. A Linear Capsule Routing (LCR) with $O(n)$ routing is shared universally. On fourteen benchmarks across eight writing systems, the architecture generalises with only scaffold and decoder topology varying per script, consistently challenging, outperforming published baselines, and establishing structural-prior efficiency as a broadly applicable principle for multi-script HCR.

Authors 3

Ranjit Raut, Aarav Subedi, Ashim Shrestha

Specification

Official page

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

Arxiv announce type
new

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

arXiv id
2609.10572

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

Categories
cs.CV, eess.IV

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

PDF

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

Primary category
cs.CV

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

Published
11 Sept 2026

Source:arXiv (Atom API + RSS)T1observed 50 min agohigh

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Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

50 min ago

Conflicts

None