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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 326–350 of 1209 papers

TitleStatusHype
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
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)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