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 551–600 of 1209 papers

TitleStatusHype
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks—0
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem—0
Efficient Medical VIE via Reinforcement Learning—0
Building OCR/NER Test Collections—0
Efficient Media Retrieval from Non-Cooperative Queries—0
A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing—0
Efficient, Lexicon-Free OCR using Deep Learning—0
Efficient few-shot learning for pixel-precise handwritten document layout analysis—0
Building A Handwritten Cuneiform Character Imageset—0
Efficient End-to-End Visual Document Understanding with Rationale Distillation—0
Effective search space reduction for spell correction using character neural embeddings—0
Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part-of-Speech Tagging—0
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems—0
EASTER: Efficient and Scalable Text Recognizer—0
BROS: A Pre-trained Language Model for Understanding Texts in Document—0
A Novel Machine Learning Based Approach for Post-OCR Error Detection—0
Broken News: Making Newspapers Accessible to Print-Impaired—0
A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR—0
E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing—0
Dynamic Programming Approach to Template-based OCR—0
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting—0
Braille-to-Speech Generator: Audio Generation Based on Joint Fine-Tuning of CLIP and Fastspeech2—0
DUBLIN -- Document Understanding By Language-Image Network—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Bootstrapping a historical commodities lexicon with SKOS and DBpedia—0
A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples—0
A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA—0
A Conglomerate of Multiple OCR Table Detection and Extraction—0
3D Rendering Framework for Data Augmentation in Optical Character Recognition—0
Boosting Optical Character Recognition: A Super-Resolution Approach—0
DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation—0
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution—0
An Offline Technique for Localization of License Plates for Indian Commercial Vehicles—0
DoPTA: Improving Document Layout Analysis using Patch-Text Alignment—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
Books of Hours. the First Liturgical Data Set for Text Segmentation.—0
SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation—0
Modelling Lips-State Detection Using CNN for Non-Verbal Communications—0
A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents—0
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond—0
DocVLM: Make Your VLM an Efficient Reader—0
BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition—0
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning—0
Document Layout Analysis via Dynamic Residual Feature Fusion—0
Document Image Binarization in JPEG Compressed Domain using Dual Discriminator Generative Adversarial Networks—0
Document Enhancement System Using Auto-encoders—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