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 326–350 of 1209 papers

TitleStatusHype
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
DeQA-Doc: Adapting DeQA-Score to Document Image Quality AssessmentCode0
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active LearningCode0
BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis DatasetCode0
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
An efficient way for segmentation of Bangla characters in printed document using curved scanningCode0
Improving OCR Accuracy on Early Printed Books using Deep Convolutional NetworksCode0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and DissertationsCode0
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and VotingCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative DocumentsCode0
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and RecognitionCode0
High-Throughput Phenotyping using Computer Vision and Machine LearningCode0
Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR CorrectionCode0
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural NetworkCode0
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text ImagesCode0
Handwriting Classification for the Analysis of Art-Historical DocumentsCode0
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detectorCode0
Handwritten Code Recognition for Pen-and-Paper CS EducationCode0
HENet: Forcing a Network to Think More for Font RecognitionCode0
Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource ScriptsCode0
DDI-100: Dataset for Text Detection and RecognitionCode0
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense UnderstandingCode0
Analyzing Green View Index and Green View Index best path using Google Street View and deep learningCode0
Show:102550
← PrevPage 14 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