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 751–775 of 1209 papers

TitleStatusHype
A Simple and Practical Approach to Improve Misspellings in OCR Text—0
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention—0
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences—0
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship—0
Scene Text Telescope: Text-Focused Scene Image Super-ResolutionCode0
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning—0
Classification of Documents Extracted from Images with Optical Character Recognition Methods—0
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition—0
Classification of Contract-Amendment Relationships—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
Toward Creation of Ancash Lexical Resources from OCR—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence LabelingCode0
Simple Transparent Adversarial Examples—0
End-to-End Unsupervised Document Image Blind Denoising—0
STRIDE : Scene Text Recognition In-Device—0
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition—0
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning—0
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images—0
End-to-End Optical Character Recognition for Bengali Handwritten WordsCode0
Word-Level Alignment of Paper Documents with their Electronic Full-Text CounterpartsCode0
Analyzing Green View Index and Green View Index best path using Google Street View and deep learningCode0
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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