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 826–850 of 1209 papers

TitleStatusHype
Analyzing Patterns and Influence of Advertising in Print Newspapers—0
An Assessment of the Impact of OCR Noise on Language Models—0
Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset—0
An Efficient Language-Independent Multi-Font OCR for Arabic Script—0
Towards Deployable OCR models for Indic languages—0
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention—0
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics—0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension—0
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images—0
An Energy Activity Dataset for Smart Homes—0
A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition—0
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning—0
An Offline Technique for Localization of License Plates for Indian Commercial Vehicles—0
A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples—0
A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR—0
A Novel Machine Learning Based Approach for Post-OCR Error Detection—0
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters—0
A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing—0
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks—0
An Unsupervised and Data-Driven Approach for Spell Checking in Vietnamese OCR-scanned Texts—0
A Panoramic Survey of Natural Language Processing in the Arab World—0
A Possibilistic Approach for Automatic Word Sense Disambiguation—0
Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910—0
A preliminary study on similarity-preserving digital book identifiers—0
A Proposal of Automatic Error Correction in Text—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