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 501–525 of 1209 papers

TitleStatusHype
Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images—0
A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition—0
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing—0
GMN: Generative Multi-modal Network for Practical Document Information Extraction—0
Implementation of a Workflow Management System for Non-Expert Users—0
Improve CAPTCHA's Security Using Gaussian Blur Filter—0
Improve Sentence Alignment by Divide-and-conquer—0
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin—0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
Improving Amharic Handwritten Word Recognition Using Auxiliary Task—0
Information Extraction from Unstructured data using Augmented-AI and Computer Vision—0
Deep Reader: Information extraction from Document images via relation extraction and Natural Language—0
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition—0
Automatic Compositor Attribution in the First Folio of Shakespeare—0
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection—0
Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction—0
Automatic Classification of Pathology Reports using TF-IDF Features—0
An Efficient Language-Independent Multi-Font OCR for Arabic Script—0
Deep Learning Approach for Receipt Recognition—0
Automated Translation of a Literary Work: A Pilot Study—0
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System—0
Deductron -- A Recurrent Neural Network—0
Decoding Anagrammed Texts Written in an Unknown Language and Script—0
Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive—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