Devanagari Handwritten Character Recognition Using TrOCR: A Transformer-Based Model with Real-Time Web Deployment

arXiv:2609.31681 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

Accuracy — 24× in this paper · explained in 1 episode
Transformer — 21× in this paper · explained in 2 episodes
Feature Extraction — 3× in this paper · explained in 2 episodes
Fine-Tuning — 3× in this paper · explained in 5 episodes
Generalization — 3× in this paper · explained in 13 episodes
Character Error Rate — 2× in this paper
Clustering — 2× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Data Augmentation — 2× in this paper · explained in 7 episodes
Devnagari Handwritten Character Recognition — 2× in this paper
Benchmarking — 1× in this paper · explained in 3 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Hidden Markov Model — 1× in this paper
Interpretability — 1× in this paper · explained in 15 episodes
Optical Character Recognition — 1× in this paper
Robustness — 1× in this paper · explained in 5 episodes
Semi-supervised Learning — 1× in this paper · explained in 4 episodes
Signal Processing and Integrated Networks — 1× in this paper
Support Vector Machine — 1× in this paper
Transfer Learning — 1× in this paper · explained in 10 episodes
Vector Representations — 1× in this paper · explained in 2 episodes
Word Error Rate — 1× in this paper

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