SOTAVerified

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
German Parliamentary Corpus (GerParCor)Code1
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANsCode1
GenKIE: Robust Generative Multimodal Document Key Information ExtractionCode1
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and RetrievalCode1
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkCode1
From Text to Pixel: Advancing Long-Context Understanding in MLLMsCode1
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth EvaluationCode1
Efficient OCR for Building a Diverse Digital HistoryCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) SystemsCode1
DSG: An End-to-End Document Structure GeneratorCode1
EAST: An Efficient and Accurate Scene Text DetectorCode1
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-NetCode1
Exploring Better Text Image Translation with Multimodal CodebookCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual PromptsCode1
DocScanner: Robust Document Image Rectification with Progressive LearningCode1
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point PredictionCode1
DocTr: Document Image Transformer for Geometric Unwarping and Illumination CorrectionCode1
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
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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