Latest Research in Handwritten Text Recognition Techniques
43 research papers · 2026 median publication year
Top Research Topics in Handwritten Text Recognition Techniques
- Computer Vision and Pattern Recognition — 16 papers
- Handwritten Text Recognition Techniques — 12 papers
- Computation and Language — 8 papers
- Artificial Intelligence — 3 papers
- Social Media in Health Education — 1 papers
- Authorship Attribution and Profiling — 1 papers
- Machine Learning — 1 papers
- Advanced Image and Video Retrieval Techniques — 1 papers
Highest-Cited Papers
- Institutional Newspapers Pipeline: Deriving billions of high quality tokens from historical newspapers
- Institutional Books - Enriched Text: A customizable multilingual open-source pipeline for denoising, deduplicating, and annotating OCR text at scale
- OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios
- Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
- Institutional Books - Visual Elements: An open-source pipeline for extracting, classifying, deduplicating, and captioning visual elements from digital book collections
- LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
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- When Writing Style Drifts: Benchmarking Authorship Verification under Distribution Shifts in Genre, Time and the AI-Era
- Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
- OCR-Based Scoring Conceals Rendering Failures in Text-to-Image Evaluation: Evidence from Hangul
- OCR-Based Scoring Conceals Rendering Failures in Text-to-Image Evaluation: Evidence from Hangul
- JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis
- Research on Lightweight Stylistic Features for Author Verification
- Library spine text detection based on SAM and CFA
- TongGuOCR: A Layout-Aware and Token-Augmented OCR MLLM for Chinese Historical Documents
- Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition
- Robust recognition of Tamil inscription letters using a hybrid model combining recurrent neural networks, graph neural networks, and attention mechanisms
- CC-OCR V2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding