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 526–550 of 1209 papers

TitleStatusHype
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Categorizing ancient documents—0
Enhancing OCR Performance through Post-OCR Models: Adopting Glyph Embedding for Improved Correction—0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information—0
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images—0
Can You Read Me Now? Content Aware Rectification using Angle Supervision—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
Enhancement of text recognition for hanja handwritten documents of Ancient Korea—0
Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types—0
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail—0
Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation—0
End-to-End Unsupervised Document Image Blind Denoising—0
CAMIO: A Corpus for OCR in Multiple Languages—0
End-to-End Piece-Wise Unwarping of Document Images—0
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model—0
Real-time Bangla License Plate Recognition System for Low Resource Video-based Applications—0
Callico: a Versatile Open-Source Document Image Annotation Platform—0
An Unsupervised and Data-Driven Approach for Spell Checking in Vietnamese OCR-scanned Texts—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
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections—0
Endangered Data for Endangered Languages: Digitizing Print dictionaries—0
Embedding Similarity Guided License Plate Super Resolution—0
Bypassing Captcha By Machine A Proof For Passing The Turing Test—0
EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge—0
BusiNet -- a Light and Fast Text Detection Network for Business Documents—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