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 176–200 of 1209 papers

TitleStatusHype
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
Video-aided Unsupervised Grammar InductionCode1
A Multiplexed Network for End-to-End, Multilingual OCRCode1
Combining Morphological and Histogram based Text Line Segmentation in the OCR ContextCode1
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANsCode1
Neural OCR Post-Hoc Correction of Historical CorporaCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
Iranis: A Large-scale Dataset of Farsi License Plate CharactersCode1
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) SystemsCode1
TAP: Text-Aware Pre-training for Text-VQA and Text-CaptionCode1
Confidence-aware Non-repetitive Multimodal Transformers for TextCapsCode1
A Two-Step Approach for Automatic OCR Post-CorrectionCode1
Intrinsic Decomposition of Document Images In-the-WildCode1
OCR Post Correction for Endangered Language TextsCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question AnsweringCode1
TLGAN: document Text Localization using Generative Adversarial NetsCode1
DE-GAN: A Conditional Generative Adversarial Network for Document EnhancementCode1
Tokenization Repair in the Presence of Spelling ErrorsCode1
Table Structure Recognition using Top-Down and Bottom-Up CuesCode1
A Large Multi-Target Dataset of Common Bengali Handwritten GraphemesCode1
A Deep Learning Approach to Geographical Candidate Selection through Toponym MatchingCode1
Adapting OCR with limited supervisionCode1
Spatially Aware Multimodal Transformers for TextVQACode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
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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