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 851–875 of 1209 papers

TitleStatusHype
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
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR—0
Books of Hours. the First Liturgical Data Set for Text Segmentation.—0
Preserving Semantic Information from Old Dictionaries: Linking Senses of the `Altfranz\"osisches W\"orterbuch' to WordNet—0
Constructing a Public Meeting Corpus—0
Time-Aware Word Embeddings for Three Lebanese News ArchivesCode0
Building OCR/NER Test Collections—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
Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle—0
An Evaluation of DNN Architectures for Page Segmentation of Historical NewspapersCode0
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition—0
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks—0
Real-time information retrieval from Identity cards—0
TextCaps: a Dataset for Image Captioning with Reading Comprehension—0
Confronting the Constraints for Optical Character Segmentation from Printed Bangla Text Image—0
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator—0
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach—0
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep LearningCode0
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks—0
Show:102550
← PrevPage 35 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