Papers Optical Character Recognition
“Optical Character Recognition” 태그가 달린 논문 526편 · 필터 해제
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
Outdoor advertisements remain a critical medium for modern marketing, yet accurately verifying billboard text visibility under real-world conditions is still challenging. Traditional Optical Character Recognition (OCR) p…
MarketingOptical Character RecognitionOptical Character Recognition (OCR)Scene UnderstandingA Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
Visually-Rich Document Understanding (VRDU) has emerged as a critical field, driven by the need to automatically process documents containing complex visual, textual, and layout information. Recently, Multimodal Large La…
document understandingOptical Character RecognitionOptical Character Recognition (OCR)Logios : An open source Greek Polytonic Optical Character Recognition system
In this paper, we present an Optical Character Recognition (OCR) system specifically designed for the accurate recognition and digitization of Greek polytonic texts. By leveraging the combined strengths of convolutional …
Optical Character RecognitionOptical Character Recognition (OCR)Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
We developed a proof-of-concept method for the automatic analysis of the structure and content of incunabula pages. A custom dataset comprising 500 annotated pages from five different incunabula was created using resourc…
image-classificationImage Classificationobject-detectionObject Detection+2An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW
Knowledge extraction through sound is a distinctive property. Visually impaired individuals often rely solely on Braille books and audio recordings provided by NGOs. Due to limitations in these approaches, blind individu…
Optical Character RecognitionOptical Character Recognition (OCR)Speech SynthesisIntelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and…
Large Language ModelOptical Character RecognitionOptical Character Recognition (OCR)Task-driven real-world super-resolution of document scans
Single-image super-resolution refers to the reconstruction of a high-resolution image from a single low-resolution observation. Although recent deep learning-based methods have demonstrated notable success on simulated d…
Image Super-ResolutionMulti-Task LearningOptical Character RecognitionSuper-Resolution+1Reading in the Dark with Foveated Event Vision
Current smart glasses equipped with RGB cameras struggle to perceive the environment in low-light and high-speed motion scenarios due to motion blur and the limited dynamic range of frame cameras. Additionally, capturing…
Optical Character RecognitionOptical Character Recognition (OCR)MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories
Foundational to the Chinese language and culture, Chinese characters encompass extraordinarily extensive and ever-expanding categories, with the latest Chinese GB18030-2022 standard containing 87,887 categories. The accu…
BenchmarkingOptical Character RecognitionOptical Character Recognition (OCR)Zero-Shot LearningSARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition
Arabic Optical Character Recognition (OCR) is essential for converting vast amounts of Arabic print media into digital formats. However, training modern OCR models, especially powerful vision-language models, is hampered…
Optical Character RecognitionOptical Character Recognition (OCR)TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance
While recent advancements in Image Super-Resolution (SR) using diffusion models have shown promise in improving overall image quality, their application to scene text images has revealed limitations. These models often s…
Image Super-ResolutionOptical Character RecognitionOptical Character Recognition (OCR)Super-Resolution+1Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Handwritten Mathematical Expression Recognition (HMER) remains a persistent challenge in Optical Character Recognition (OCR) due to the inherent freedom of symbol layout and variability in handwriting styles. Prior metho…
Handwritten Mathmatical Expression RecognitionLanguage ModelingLanguage ModellingOptical Character Recognition+2MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
Text Image Machine Translation (TIMT)-the task of translating textual content embedded in images-is critical for applications in accessibility, cross-lingual information access, and real-world document understanding. How…
document understandingMachine TranslationOptical Character RecognitionOptical Character Recognition (OCR)+2Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
Document alignment and registration play a crucial role in numerous real-world applications, such as automated form processing, anomaly detection, and workflow automation. Traditional methods for document alignment rely …
Anomaly DetectionHomography EstimationOptical Character RecognitionOptical Character Recognition (OCR)How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads
Despite significant advancements in Large Vision Language Models (LVLMs), a gap remains, particularly regarding their interpretability and how they locate and interpret textual information within images. In this paper, w…
Optical Character RecognitionOptical Character Recognition (OCR)RetrievalEvery Pixel Tells a Story: End-to-End Urdu Newspaper OCR
This paper introduces a comprehensive end-to-end pipeline for Optical Character Recognition (OCR) on Urdu newspapers. In our approach, we address the unique challenges of complex multi-column layouts, low-resolution arch…
ArticlesImage Super-ResolutionOptical Character RecognitionOptical Character Recognition (OCR)+2Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
Large Multimodal Models (LMMs) have become increasingly versatile, accompanied by impressive Optical Character Recognition (OCR) related capabilities. Existing OCR-related benchmarks emphasize evaluating LMMs' abilities …
Logical ReasoningOptical Character RecognitionOptical Character Recognition (OCR)Question Answering+1LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
Recent advances in Large Multimodal Models (LMMs) have significantly improved their reasoning and Optical Character Recognition (OCR) capabilities. However, their performance on complex logical reasoning tasks involving …
Logical ReasoningMultimodal ReasoningMultiple-choiceOptical Character Recognition+1Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline
This paper presents an end-to-end suite for multilingual information extraction and processing from image-based documents. The system uses Optical Character Recognition (Tesseract) to extract text in languages such as En…
Abstractive Text SummarizationLanguage ModelingLanguage ModellingLarge Language Model+5PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language
This paper evaluates the performance of Large Multimodal Models (LMMs) on Optical Character Recognition (OCR) in the low-resource Pashto language. Natural Language Processing (NLP) in Pashto faces several challenges due …
BenchmarkingOptical Character RecognitionOptical Character Recognition (OCR)