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 376–400 of 1209 papers

TitleStatusHype
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment—0
DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation—0
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics—0
Boosting Optical Character Recognition: A Super-Resolution Approach—0
An Offline Technique for Localization of License Plates for Indian Commercial Vehicles—0
Advancing Visual Specification of Code Requirements for Graphs—0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
Development of a WAZOBIA-Named Entity Recognition System—0
BART for Post-Correction of OCR Newspaper Text—0
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting—0
Dynamic Programming Approach to Template-based OCR—0
A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples—0
E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing—0
Broken News: Making Newspapers Accessible to Print-Impaired—0
A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR—0
Development of a New Image-to-text Conversion System for Pashto, Farsi and Traditional Chinese—0
Detection of Text Reuse in French Medical Corpora—0
EASTER: Efficient and Scalable Text Recognizer—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages—0
Bangla Text Recognition from Video Sequence: A New Focus—0
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention—0
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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