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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 1209 papers

TitleStatusHype
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation—0
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting RecognitionCode0
Detection Masking for Improved OCR on Noisy Documents—0
Towards Deployable OCR models for Indic languages—0
OCR Synthetic Benchmark Dataset for Indic Languages—0
Text Detection on Technical Drawings for the Digitization of Brown-field Processes—0
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
German Parliamentary Corpus (GerParCor)Code1
Unitail: Detecting, Reading, and Matching in Retail Scene—0
Digitizing Historical Balance Sheet Data: A Practitioner's GuideCode1
Benchmarking Algorithms for Automatic License Plate Recognition—0
Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Document Dewarping with Control PointsCode1
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document UnderstandingCode1
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting—0
OCR quality affects perceived usefulness of historical newspaper clippings -- a user study—0
DiT: Self-supervised Pre-training for Document Image TransformerCode1
TableFormer: Table Structure Understanding with TransformersCode1
OCR Improves Machine Translation for Low-Resource Languages—0
Improving Amharic Handwritten Word Recognition Using Auxiliary Task—0
OCR-IDL: OCR Annotations for Industry Document Library DatasetCode1
Show:102550
← PrevPage 25 of 49Next →
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