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 951–1000 of 1209 papers

TitleStatusHype
An OCR system for the Unified Northern AlphabetCode0
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network—0
Dynamic Programming Approach to Template-based OCR—0
Pay Voice: Point of Sale Recognition for Visually Impaired People—0
Deep Reader: Information extraction from Document images via relation extraction and Natural Language—0
Neural Probabilistic System for Text Recognition—0
Binary Document Image Super Resolution for Improved Readability and OCR PerformanceCode0
Extracting structured data from invoices—0
A Compositional Textual Model for Recognition of Imperfect Word Images—0
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character RecognitionCode0
Survey of Computational Approaches to Lexical Semantic Change—0
Auto-ML Deep Learning for Rashi Scripts OCR—0
Combining Human and Machine Transcriptions on the Zooniverse Platform—0
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks—0
Resolving Referring Expressions in Images With Labeled Elements—0
State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source EnginesCode0
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling CheckCode0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features—0
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin—0
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised SanskritCode0
License Plate Detection and Recognition in Unconstrained ScenariosCode0
Indigenous language technologies in Canada: Assessment, challenges, and successes—0
Local String Transduction as Sequence Labeling—0
Towards an Automatic Classification of Illustrative Examples in a Large Japanese-French Dictionary Obtained by OCR—0
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient—0
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAsCode0
Sum-Product Networks for Sequence Labeling—0
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character RecognitionCode0
Multi-Input Attention for Unsupervised OCR Correction—0
ASTER: An Attentional Scene Text Recognizer with Flexible RectificationCode0
Deductron -- A Recurrent Neural Network—0
Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data—0
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text RecognitionCode0
Confidence Prediction for Lexicon-Free OCR—0
Implicit Language Model in LSTM for OCRCode0
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection—0
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles—0
PDF-to-Text Reanalysis for Linguistic Data Mining—0
Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part-of-Speech Tagging—0
TF-LM: TensorFlow-based Language Modeling ToolkitCode0
Towards Processing of the Oral History Interviews and Related Printed Documents—0
Building A Handwritten Cuneiform Character Imageset—0
PDFAnno: a Web-based Linguistic Annotation Tool for PDF DocumentsCode0
Delta vs. N-Gram Tracing: Evaluating the Robustness of Authorship Attribution Methods—0
D\'etection d'erreurs dans des transcriptions OCR de documents historiques par r\'eseaux de neurones r\'ecurrents multi-niveau (Combining character level and word level RNNs for post-OCR error detection)—0
Computer-assisted Speaker Diarization: How to Evaluate Human Corrections—0
Measuring Innovation in Speech and Language Processing Publications.—0
Matics Software Suite: New Tools for Evaluation and Data Exploration—0
Low-resource Post Processing of Noisy OCR Output for Historical Corpus Digitisation—0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods—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