NVIDIA Developer
developer.nvidia.com › blog › robust-scene-text-detection-and-recognition-introduction
Robust Scene Text Detection and Recognition: Introduction | NVIDIA Technical Blog
November 14, 2024 - Scene text detection and recognition (STDR) is crucial in various industries, including healthcare, manufacturing, banking, and automotive, for tasks like extracting information from images and videos. The STDR process involves detecting text fields using text detection algorithms and recognizing the text using custom OCR techniques, but is challenging due to variations in text appearance, such as curvature and distortion.
Statistics Canada
statcan.gc.ca › en › data-science › network › character-recognition
Comparing Optical Character Recognition Tools for Text-Dense Documents vs. Scene Text
May 3, 2022 - OCR tools trained on scene imagery are better at detecting text regions in a complex background and recognize curved text better than OCR tools trained on scanned documents that contain text on plain backgrounds. It's important to choose models that are trained for tasks closest to our use-case.
2023 review of tools for Handwritten Text Recognition HTR — OCR for handwriting
Hi everyone, As someone who's been following the rich discussions here about Handwritten Text Recognition (HTR) tools, I wanted to bring into the conversation a project that's close to my heart and in its developmental phase. Meet Pen2Txt ( https://pen2txt.com/ ), our modest attempt to contribute to the HTR landscape. Driven by AI, Pen2Txt aims to tackle some of the most persistent challenges in accurately transcribing handwritten documents. We've embarked on this journey with the hope of delivering unprecedented accuracy in the realm of HTR, leveraging the latest in AI technology to adapt to a diverse array of handwriting styles. Our platform is still very much a work in progress, and we're under no illusion about the road ahead. The interface, while designed to be user-friendly, and our AI, despite being trained on a vast dataset, are in continuous need of refinement to meet the varied demands of real-world applications. That's where we hope to engage with communities like this one. Your feedback, based on real experiences and needs, is crucial for us. It will not only help us identify where we need to improve but also understand how our tool can be more beneficial for its users. We're particularly proud of the strides we've made with our AI, offering results that we believe are a step forward in the field. However, we know that there's always room to grow and learn. We invite you to try Pen2Txt and share your thoughts. Whether it's a feature request, a bug report, or general impressions, all feedback is welcome. Our goal is to make Pen2Txt not just another tool in the market but a community-driven solution that genuinely addresses the needs of those requiring HTR. Thanks for considering Pen2Txt, and we're looking forward to hearing from you. Your insights could play a pivotal role in shaping the future of handwritten text recognition. Best, https://pen2txt.com/ More on reddit.com
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July 31, 2023[P]Modern open-source OCR capabilities and which model to choose
Look into open-mmlab's MMOCR, does both detection and recognition, with English and Chinese alphabet support. Absolutely wicked performance, it scrapes off text from logos, flyers, blurred text, etc. Not suitable for real-time performance. Until a few years ago, I was quite happy with Tesseract, but they've fallen behind since then. Still good for scanning printed text or similar. Also supports a lot of languages. More on reddit.com
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November 18, 2022What is the best of the best when it comes to OCR software?
Abbyy is the standard that all other OCR software is held too. Companies that cant develop their own use Abbyys engine. Source: Software solutions director for a managed print services company. More on reddit.com
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June 24, 2019[P] Choosing an OCR
Pay for Google's service, it costs like pennies per image, maybe less, and can exhaustively label your entire set almost perfectly with word, character, and line gt even rotated. Then use that to train the best open source model you can find.
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August 15, 202006:23
Python Machine Learning Project - Scene text recognition using ...
10:11
How to use OCR | Get Started with Optical Character Recognition ...
15:39
Text detection with Python and Opencv | OCR using EasyOCR | Computer ...
Accurate Text Detector Tutorial - Fast & Easy - Using EAST
05:29
Scene Text Image Super-Resolution Based on Text-Conditional Diffusion ...
52:42
[Open DMQA Seminar] Self- Semi-supervised Learning for Scene Text ...
TheCVF
openaccess.thecvf.com › content_ICCV_2019 › papers › Baek_What_Is_Wrong_With_Scene_Text_Recognition_Model_Comparisons_Dataset_ICCV_2019_paper.pdf pdf
What Is Wrong With Scene Text Recognition Model Comparisons?
Reading text in natural scenes, referred to as scene text · recognition (STR), has been an important task in a wide · range of industrial applications. The maturity of Optical · Character Recognition (OCR) systems has led to its suc- cessful application on cleaned documents, but most tra- ditional OCR methods have failed to be as effective on ·
Cornell
vision.cornell.edu › se3 › wp-content › uploads › 2014 › 09 › wang_iccv2011.pdf pdf
End-to-End Scene Text Recognition Kai Wang, Boris Babenko and Serge Belongie
While text from · scanned documents has served as the principal focus of Op- tical Character Recognition (OCR) applications in the past, text acquired in general settings (referred to as scene text) is becoming more prevalent with the proliferation of mobile ·
Codesota
codesota.com › browse › computer-vision › scene-text-recognition
Scene Text Recognition Benchmarks - Computer Vision - CodeSOTA | CodeSOTA
Scene text recognition reads the text content from cropped images of text regions detected in natural scenes. It handles diverse fonts, distortions, partial occlusion, and variable illumination that make it much harder than printed OCR.
Roboflow
blog.roboflow.com › best-ocr-models-text-recognition
Best OCR Models for Text Recognition in Images
June 1, 2026 - Small VLMs like GPT-5 Mini and ... win on documents. Optical character recognition (OCR) allows text in images to be understandable by machines, allowing programs and scripts to process the text....
Stanford University
cs.stanford.edu › ~cbcase › papers › CoatesEtAl-icdar11.pdf pdf
Text Detection and Character Recognition in Scene Images ...
alternative to using purpose-built, text-specific features or · models. Among our results, we achieve performance among · the best known on the ICDAR 2003 character recognition · dataset. In contrast to more classical OCR problems, where the · characters are typically monotone on fixed backgrounds, character recognition in scene images is potentially far ·
Towards Data Science
towardsdatascience.com › home › latest › scene text detection and recognition using east and tesseract
Scene Text Detection And Recognition Using EAST And Tesseract | Towards Data Science
January 22, 2025 - Fortunately, recent advances in Computer Vision allow us to make great strides in easing the burden of text detection and other document analysis and understanding. In Computer Vision the method of converting the text present in images or scanned documents to a machine-readable format that can later be edited, searched, and can be used for further processing is known as Optical Character Recognition (OCR).
arXiv
arxiv.org › pdf › 1707.06810 pdf
Text Recognition in Scene Image and Video Frame using ...
recognizing text from natural scene images and video frames are low-resolution image or frames · with different fonts and size of characters, images with a complex background, variant alignment · and color etc. Because of these factors, existing commercial document OCR systems do not work · well for recognition of text from natural scene images or video frames [3, 40, 60].
IEEE Xplore
ieeexplore.ieee.org › abstract › document › 6126402
End-to-end scene text recognition
The second is a system rooted in generic object recognition, an extension of our previous work in [20]. We show that the latter approach achieves superior performance. While scene text recognition has generally been treated with highly domain-specific methods, our results demonstrate the ...
Wikipedia
en.wikipedia.org › wiki › Scene_text
Scene text - Wikipedia
March 14, 2026 - In the bottom-up approaches, the image is segmented into multiple components and the segmented image is passed through a recognition engine. Either an off the shelf Optical character recognition (OCR) engine or a custom-trained one is used to recognise the text.
Nature
nature.com › nature-index › topics › l4 › scene-text-detection-and-recognition-techniques
Scene Text Detection and Recognition Techniques | Computer Vision | Computer Vision and Multimedia Computation | Applied sciences | Topics | Nature Index
Experiments on newly curated benchmarks for cursive languages illustrate that this architecture yields substantial accuracy improvements over conventional OCR models under varied backgrounds and distortions. The graph below shows the total number of articles in scene text detection and recognition techniques across all publications each year (not limited to Nature Index journals).
Iiit
cvit.iiit.ac.in › research › projects › cvit-projects › scene-text-understanding
Scene Text Understanding
Scene text exhibits a large variability in appearances, and can prove to be challenging even for the state-of-the-art OCR methods. Many scene understanding methods recognize objects and regions like roads, trees, sky in the image successfully, but tend to ignore the text on the sign board.
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC10181526
Lightweight Scene Text Recognition Based on Transformer - PMC
With the development of OCR technology, people are satisfied with the recognition of the text in the document or the book and focus on text recognition in the actual scene, which is called scene text recognition (STR).
Medium
medium.com › @tunamuna29 › scene-text-detection-recognition-in-natural-images-e1dbb90f9261
Scene Text Detection & Recognition in Natural Images | by Rakesh Thakur | Medium
October 16, 2025 - With fine-tuning, the model detects curved, tilted, or blurry text that generic OCR might miss. A Scene Text Detection & Recognition system bridges the gap between raw images and structured text understanding.
Theodo
data-ai.theodo.com › en › technical-blog › ocr-text-detection-recognition
OCR in Natural Images SOTA in Text Detection and Recognition
On the other hand, a curved text instance with a creative font in a natural image is not only much more challenging to read (text recognition): it also requires a tricky preliminary step to locate the text in the image (text detection). While traditional computer vision techniques handle well the former case, the latter requires State-Of-The-Art (SOTA) deep learning methods combining CNNs and RNNs. Two steps are necessary to read scene text, i.e.
ResearchGate
researchgate.net › publication › 373543929_Text_Detection_and_Recognition_from_the_Scene_Images_Using_RCNN_and_EasyOCR
(PDF) Text Detection and Recognition from the Scene Images Using RCNN and EasyOCR
August 31, 2023 - Because of this, there is a high need for commercial text recognizers for natural scenes. Conventional optical character recognition (OCR) demands clean backgrounds, crisp layouts, and neat text, which are frequently not met by natural scene images.
Sarah Glasmacher
sarahglasmacher.com › intro-to-scene-text-recognition-guide-to-image-to-text-conversion
Intro to Scene Text Recognition - Guide to Image-to-Text Conversion
January 3, 2025 - Recognizing text in a photo - something we're quite good at, but neural networks struggle quite a bit with it. While OCR (Optical Character Recognition) (OCR Wikipedia) is a fairly well-known concept, the very similar Scene Text Recognition (STR) problem is not talked about as much. Table of ...
Papers with Code
paperswithcode.com › task › scene-text-recognition
Scene Text Recognition
Unlimited OCR introduces Reference Sliding Window Attention to eliminate growing memory consumption during long-sequence OCR tasks, enabling efficient transcription of multiple pages in a single forward pass.
Nanonets
nanonets.com › blog › deep-learning-ocr
Deep Learning Based OCR for Text in the Wild
September 3, 2025 - This post is about Optical character recognition(OCR) for text recognition in natural scene images. We will learn about why it is a tough problem, approaches used to solve this and the code that goes along with it.
