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 426–450 of 1209 papers

TitleStatusHype
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo EmbeddingsCode0
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAsCode0
CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction—0
A semi-automatic method for document classification in the shipping industry—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
A second-order orientation-contrast stimulus for population-receptive-field-based retinotopic mapping—0
Amazigh Verb Conjugator—0
A Scalable Handwritten Text Recognition System—0
CLIP-ReIdent: Contrastive Training for Player Re-Identification—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols—0
A Maximum Entropy Approach to Chinese Spelling Check—0
Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts—0
Classroom Slide Narration System—0
Classification of Documents Extracted from Images with Optical Character Recognition Methods—0
Classification of Contract-Amendment Relationships—0
Chunk-based Chinese Spelling Check with Global Optimization—0
Artificial Eye for the Blind—0
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction—0
CHISPA on the GO: A mobile Chinese-Spanish translation service for travellers in trouble—0
Chinese/English mixed Character Segmentation as Semantic Segmentation—0
A random forest system combination approach for error detection in digital dictionaries—0
A Linked Data Model for Multimodal Sentiment and Emotion Analysis—0
ChemRxivQuest: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv Preprints—0
Chaurah: A Smart Raspberry Pi based Parking System—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