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 1051–1075 of 1209 papers

TitleStatusHype
LMV-RPA: Large Model Voting-based Robotic Process AutomationCode0
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and DissertationsCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Document Image Cleaning using Budget-Aware Black-Box ApproximationCode0
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and RecognitionCode0
Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsCode0
An OCR system for the Unified Northern AlphabetCode0
Parallel Iterative Edit Models for Local Sequence TransductionCode0
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language ModelsCode0
PDFAnno: a Web-based Linguistic Annotation Tool for PDF DocumentsCode0
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned TextsCode0
Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction EncodingCode0
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine TranslationCode0
A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspapersCode0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR CorrectionCode0
Adapting the Tesseract Open Source OCR Engine for Multilingual OCRCode0
Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math TextbooksCode0
High-Throughput Phenotyping using Computer Vision and Machine LearningCode0
HENet: Forcing a Network to Think More for Font RecognitionCode0
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessCode0
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering NetworkCode0
PHD: Pixel-Based Language Modeling of Historical DocumentsCode0
MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual FeaturesCode0
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural NetworkCode0
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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