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 801–825 of 1209 papers

TitleStatusHype
Advanced Knowledge Extraction of Physical Design Drawings, Translation and conversion to CAD formats using Deep Learning—0
Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey—0
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System—0
Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma—0
Advancing Visual Specification of Code Requirements for Graphs—0
A free and open-source tool that reads movie subtitles aloud—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents—0
A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem—0
AI Adoption to Combat Financial Crime: Study on Natural Language Processing in Adverse Media Screening of Financial Services in English and Bangla multilingual interpretation—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
A Language Modelling Approach to Quality Assessment of OCR’ed Historical Text—0
A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail—0
Align Me: A framework to generate Parallel Corpus Using OCRs and Bilingual Dictionaries—0
A Linked Data Model for Multimodal Sentiment and Emotion Analysis—0
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction—0
A Maximum Entropy Approach to Chinese Spelling Check—0
Amazigh Verb Conjugator—0
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers—0
A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition—0
A Multimodal Framework for Video Ads Understanding—0
A Multitask Network for Localization and Recognition of Text in Images—0
An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW—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
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)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