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

Showing 676700 of 1209 papers

TitleStatusHype
Optical character recognition quality affects perceived usefulness of historical newspaper clippings0
Toolbox : une chaîne de traitement de corpus pour les humanités numériques (Toolbox : a corpus processing pipeline for digital humanities)0
Reconnaissance d’entités nommées sur des sorties OCR bruitées : des pistes pour la désambiguïsation morphologique automatique (Resolution of entity linking issues on noisy OCR output : automatic disambiguation tracks)0
Between History and Natural Language Processing: Study, Enrichment and Online Publication of French Parliamentary Debates of the Early Third Republic (1881-1899)0
Generating Monolingual Dataset for Low Resource Language Bodo from old books using Google Keep0
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation0
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting RecognitionCode0
Detection Masking for Improved OCR on Noisy Documents0
Towards Deployable OCR models for Indic languages0
Text Detection on Technical Drawings for the Digitization of Brown-field Processes0
OCR Synthetic Benchmark Dataset for Indic Languages0
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles0
Unitail: Detecting, Reading, and Matching in Retail Scene0
Benchmarking Algorithms for Automatic License Plate Recognition0
Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering0
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting0
OCR quality affects perceived usefulness of historical newspaper clippings -- a user study0
OCR Improves Machine Translation for Low-Resource Languages0
Improving Amharic Handwritten Word Recognition Using Auxiliary Task0
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching0
Identifying OCRs in cfDNA WGS Data by Correlation Clustering0
BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition0
Omnifont Persian OCR System Using Primitives0
Show:102550
← PrevPage 28 of 49Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6Unverified
2DTrOCR 105MAccuracy (%)89.6Unverified
3MaskOCR-LAccuracy (%)82.6Unverified
4TransOCRAccuracy (%)72.8Unverified
5SRNAccuracy (%)65Unverified
6MORANAccuracy (%)64.3Unverified
7SEEDAccuracy (%)61.2Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22Unverified
2Gemini-1.5 ProAverage Accuracy76.13Unverified
3Claude-3 SonnetAverage Accuracy67.71Unverified
4RapidOCRAverage Accuracy56.98Unverified
5EasyOCRAverage Accuracy49.3Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54Unverified
2SEESequence error22Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09Unverified
2I2L-STRIPSBLEU89Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08Unverified
2EasyOCRCharacter Error Rate (CER)0.07Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86Unverified