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 901–925 of 1209 papers

TitleStatusHype
Document Enhancement System Using Auto-encoders—0
Chargrid-OCR: End-to-end Trainable Optical Character Recognition for Printed Documents using Instance Segmentation—0
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings—0
HoughNet: neural network architecture for vanishing points detection—0
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detectorCode0
PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark DatasetCode0
Towards Unconstrained End-to-End Text Spotting—0
A BLSTM Network for Printed Bengali OCR System with High Accuracy—0
A Comparative Study of Filtering Approaches Applied to Color Archival Document Images—0
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning—0
Nonparametric modeling cash flows of insurance company—0
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents—0
Mitigating Noisy Inputs for Question Answering—0
Answering Questions about Data Visualizations using Efficient Bimodal FusionCode0
OCR Quality and NLP Preprocessing—0
Ekush: A Multipurpose and Multitype Comprehensive Database for Online Off-Line Bangla Handwritten CharactersCode0
Multimodal deep networks for text and image-based document classificationCode0
A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples—0
Brno Mobile OCR DatasetCode0
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction—0
Machine Learning Construction: implications to cybersecurity—0
A Multitask Network for Localization and Recognition of Text in Images—0
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural NetworkCode0
Efficient, Lexicon-Free OCR using Deep Learning—0
Clustering-Based Article Identification in Historical NewspapersCode0
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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
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)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