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 901–950 of 1209 papers

TitleStatusHype
Neural Monkey: The Current State and Beyond—0
News Deja Vu: Connecting Past and Present with Semantic Search—0
N-gram language models for massively parallel devices—0
Nonparametric modeling cash flows of insurance company—0
NOSE Augment: Fast and Effective Data Augmentation Without Searching—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
Notes on Applicability of GPT-4 to Document Understanding—0
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts—0
NVLM: Open Frontier-Class Multimodal LLMs—0
Object-Centric Representations Improve Policy Generalization in Robot Manipulation—0
Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle—0
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings—0
OCR accuracy improvement on document images through a novel pre-processing approach—0
OCR and Automated Translation for the Navigation of non-English Handsets: A Feasibility Study with Arabic—0
OCR and post-correction of historical Finnish texts—0
OCRAPOSE II: An OCR-based indoor positioning system using mobile phone images—0
OCR++: A Robust Framework For Information Extraction from Scholarly Articles—0
OCR, Classification & Machine Translation (OCCAM)—0
OCR Error Correction Using Character Correction and Feature-Based Word Classification—0
OCR evaluation tools for the 21st century—0
OCR for TIFF Compressed Document Images Directly in Compressed Domain Using Text segmentation and Hidden Markov Model—0
OCR Graph Features for Manipulation Detection in Documents—0
OCR Improves Machine Translation for Low-Resource Languages—0
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System—0
OCR Language Models with Custom Vocabularies—0
OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus—0
OCR Post-Correction Evaluation of Early Dutch Books Online - Revisited—0
OCR Post-Processing Text Correction using Simulated Annealing (OPTeCA)—0
OCR Processing of Swedish Historical Newspapers Using Deep Hybrid CNN–LSTM Networks—0
OCR quality affects perceived usefulness of historical newspaper clippings -- a user study—0
OCR Quality and NLP Preprocessing—0
OCR-RTPS: An OCR-based real-time positioning system for the valet parking—0
OCR Synthetic Benchmark Dataset for Indic Languages—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Offline Handwritten MODI Character Recognition Using HU, Zernike Moments and Zoning—0
Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910—0
Omnifont Persian OCR System Using Primitives—0
On-Device Document Classification using multimodal features—0
On-Device Language Identification of Text in Images using Diacritic Characters—0
On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification—0
On-Device Text Image Super Resolution—0
One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments—0
One RL to See Them All: Visual Triple Unified Reinforcement Learning—0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes—0
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation—0
On the feasibility of attacking Thai LPR systems with adversarial examples—0
Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction—0
Open Philology at the University of Leipzig—0
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles—0
Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss—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