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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 76–100 of 1209 papers

TitleStatusHype
MathReader : Text-to-Speech for Mathematical DocumentsCode1
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of ExpertsCode1
Toxicity of the Commons: Curating Open-Source Pre-Training DataCode1
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text RecognitionCode1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheetsCode1
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP TasksCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Image-text matching for large-scale book collectionsCode1
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document UnderstandingCode1
FlowLearn: Evaluating Large Vision-Language Models on Flowchart UnderstandingCode1
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding DatasetCode1
From Text to Pixel: Advancing Long-Context Understanding in MLLMsCode1
ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in ImagesCode1
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing ModelsCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific DocumentsCode1
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and SpottingCode1
TEXTRON: Weakly Supervised Multilingual Text Detection through Data ProgrammingCode1
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionCode1
An Empirical Study of Scaling Law for OCRCode1
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and ReasoningCode1
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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