Handwriting Recognition
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Benchmarks
KOHTD
Most implemented
LSTM: A Search Space Odyssey
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
Full Page Handwriting Recognition via Image to Sequence Extraction
Speech Recognition with Deep Recurrent Neural Networks
Multi-Dimensional Recurrent Neural Networks
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
Papers
PyPottery: an AI-powered end-to-end suite for pottery processing and publication
The study of ceramic materials constitutes a cornerstone of archaeological research, yet the post-production workflow for pottery documentation remains labor-intensive and creates significant publication bottlenecks. Thi…
Handwriting RecognitionA statistical approach to bias in zero-shot learning: the lens of handwriting recognition
Generalized zero-shot learning (GZSL) has emerged as an important paradigm for visual recognition systems that must generalize to classes that were not observed during training. Traditional GZSL techniques are limited by…
Generalized Zero-Shot LearningHandwriting RecognitionLLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
We present a fully automated closed-loop AutoML framework that uses GPT-5, GPT-4o, and Claude Sonnet 4 as autonomous neural architecture designers for cross-lingual handwritten optical character recognition. Each large l…
Neural Architecture SearchHandwriting RecognitionAdversarial Attacks on Online Handwriting using Salience-based Temporal Editing
Deep learning models for online handwriting recognition have been shown effective and are increasingly deployed in practical applications. However, their vulnerability to adversarial attacks is still a challenge. Existin…
Handwriting RecognitionAdversarial AttackSpiS-GAN: Spiral-Modulated Handwriting Synthesis with Star Operation
Training robust handwriting recognition (HTR) systems requires massive amounts of annotated data, which is often difficult to acquire. While synthetic handwriting generation offers a practical solution to expand training…
Handwriting RecognitionFuzzy-Geometric Branch-Point Modeling for Structure-Aware Augmentation of Handwritten Chinese Characters
Data scarcity and structural distortion significantly limit handwriting recognition in high-security authentication. Existing augmentation methods often cause topological and morphological damage, particularly when proce…
Handwriting Recognition