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

Showing 10511075 of 1209 papers

TitleStatusHype
OCRAPOSE II: An OCR-based indoor positioning system using mobile phone images0
EAST: An Efficient and Accurate Scene Text DetectorCode1
Attention-based Extraction of Structured Information from Street View ImageryCode0
Effective search space reduction for spell correction using character neural embeddings0
Important New Developments in Arabographic Optical Character Recognition (OCR)0
Content-based similar document image retrieval using fusion of CNN features0
A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA0
Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval0
Endangered Data for Endangered Languages: Digitizing Print dictionaries0
End-to-End Interpretation of the French Street Name Signs DatasetCode0
Language Independent Single Document Image Super-Resolution using CNN for improved recognition0
Document Decomposition of Bangla Printed Text0
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)Code0
LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed BooksCode0
Profiling of OCR'ed Historical Texts Revisited0
Mining Spatio-temporal Data on Industrialization from Historical RegistriesCode0
Recognition of Text Image Using Multilayer Perceptron0
papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion0
Providing and Analyzing NLP Terms for our Community0
Detection of Text Reuse in French Medical Corpora0
Integrating Optical Character Recognition and Machine Translation of Historical Documents0
Implementation of a Workflow Management System for Non-Expert Users0
Align Me: A framework to generate Parallel Corpus Using OCRs and Bilingual Dictionaries0
Statistical Learning for OCR Text Correction0
Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-19100
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6Unverified
2DTrOCR 105MAccuracy (%)89.6Unverified
3MaskOCR-LAccuracy (%)82.6Unverified
4TransOCRAccuracy (%)72.8Unverified
5SRNAccuracy (%)65Unverified
6MORANAccuracy (%)64.3Unverified
7SEEDAccuracy (%)61.2Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22Unverified
2Gemini-1.5 ProAverage Accuracy76.13Unverified
3Claude-3 SonnetAverage Accuracy67.71Unverified
4RapidOCRAverage Accuracy56.98Unverified
5EasyOCRAverage Accuracy49.3Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54Unverified
2SEESequence error22Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09Unverified
2I2L-STRIPSBLEU89Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08Unverified
2EasyOCRCharacter Error Rate (CER)0.07Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86Unverified