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 801–850 of 1209 papers

TitleStatusHype
PP-OCR: A Practical Ultra Lightweight OCR SystemCode2
An Efficient Language-Independent Multi-Font OCR for Arabic Script—0
A Deep Learning Approach to Geographical Candidate Selection through Toponym MatchingCode1
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform—0
A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition—0
Handwritten Script Identification from Text Lines—0
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices—0
Abstractive Information Extraction from Scanned Invoices (AIESI) using End-to-end Sequential Approach—0
MRZ code extraction from visa and passport documents using convolutional neural networksCode0
OCR Graph Features for Manipulation Detection in Documents—0
Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese—0
EASTER: Efficient and Scalable Text Recognizer—0
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation—0
Can You Read Me Now? Content Aware Rectification using Angle Supervision—0
Weakly Supervised Construction of ASR Systems with Massive Video Data—0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension—0
Advancing Visual Specification of Code Requirements for Graphs—0
Adapting OCR with limited supervisionCode1
Spatially Aware Multimodal Transformers for TextVQACode1
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection—0
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and RetrievalCode1
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
CLEval: Character-Level Evaluation for Text Detection and Recognition TasksCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
Tamil Vowel Recognition With Augmented MNIST-like Data Set—0
Exploiter des mod\`eles de langue pour \'evaluer des sorties de logiciels d'OCR pour des documents fran du XVIIe si\`ecle ()—0
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images—0
Structured Multimodal Attentions for TextVQACode1
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text RecognitionCode1
NAT: Noise-Aware Training for Robust Neural Sequence LabelingCode1
Large Scale Font Independent Urdu Text Recognition SystemCode1
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts—0
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices—0
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition—0
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem—0
Development of a New Image-to-text Conversion System for Pashto, Farsi and Traditional Chinese—0
A Gaussian Process Upsampling Model for Improvements in Optical Character RecognitionCode0
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling AmericaCode1
Books of Hours. the First Liturgical Data Set for Text Segmentation.—0
How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR—0
Time-Aware Word Embeddings for Three Lebanese News ArchivesCode0
Building OCR/NER Test Collections—0
Constructing a Public Meeting Corpus—0
Preserving Semantic Information from Old Dictionaries: Linking Senses of the `Altfranz\"osisches W\"orterbuch' to WordNet—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters—0
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognitionCode0
A Tool for Facilitating OCR Postediting in Historical DocumentsCode0
Image Processing Based Scene-Text Detection and Recognition with Tesseract—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