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Optical Character Recognition (OCR)

Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)

Papers

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Showing 301–350 of 1209 papers

TitleStatusHype
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model—0
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of Tricks—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document TranscriptionCode0
Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language ModelsCode0
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts—0
MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR TextsCode0
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI—0
Visual Zero-Shot E-Commerce Product Attribute Value Extraction—0
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding—0
Harnessing PDF Data for Improving Japanese Large Multimodal Models—0
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language modelsCode0
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning—0
Southern Newswire Corpus: A Large-Scale Dataset of Mid-Century Wire Articles Beyond the Front Page—0
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency—0
Adapting Multilingual Embedding Models to Historical Luxembourgish—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical recordsCode0
Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images—0
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents—0
Jochre 3 and the Yiddish OCR corpusCode0
Comparative analysis of optical character recognition methods for Sámi texts from the National Library of NorwayCode0
Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelCode0
Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line AnalysisCode0
SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Efficient Video-Based ALPR System Using YOLO and Visual RhythmCode0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes—0
Crossing Language Borders: A Pipeline for Indonesian Manhwa TranslationCode0
Embedding Similarity Guided License Plate Super Resolution—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark—0
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary StudyCode0
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions—0
VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data—0
HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images—0
ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing—0
LMV-RPA: Large Model Voting-based Robotic Process AutomationCode0
Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource ScriptsCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
TextSleuth: Towards Explainable Tampered Text Detection—0
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal CluesCode0
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment—0
Advanced ingestion process powered by LLM parsing for RAG system—0
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari LanguagesCode0
Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma—0
Enhancement of text recognition for hanja handwritten documents of Ancient Korea—0
One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments—0
AI Adoption to Combat Financial Crime: Study on Natural Language Processing in Adverse Media Screening of Financial Services in English and Bangla multilingual interpretation—0
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All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6—Unverified
2DTrOCR 105MAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified