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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 926–950 of 1209 papers

TitleStatusHype
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
Show:102550
← PrevPage 38 of 49Next →
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