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Questions tagged [optical-character-recognition]

For questions about the application of AI/ML algorithms in the field of optical character recognition (OCR), aka optical character reader (OCR), which is the mechanical or electronic conversion of images of typed, handwritten, or printed text into machine-encoded text.

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GPT Vision vs OCR & GPT text [closed]

I’m using GPT4 to create calendar events from a screenshot of a conversation. What’s better: Use GPT with vision and prompt Use OCR to pull out all text and then use a GPT text model
DD.'s user avatar
  • 101
1 vote
0 answers
32 views

Improve Performance of License Plate Recognition using EasyOCR

I wish to extract the license-plate text from images using EasyOCR. I am obtaining license-plate images from a 2MP camera's stream placed atop traffic light poles. ...
Rishi Sharma's user avatar
1 vote
1 answer
163 views

Where would If my goal was to do OCR pdf text extraction on 1000s of PDFs I have?

So I have lots of data (pdfs) that I want to train an AI model to extract info from. All of them are a little different but have the same key data points. Is it possible to train an AI on the pdfs I ...
Alen Ramic's user avatar
0 votes
2 answers
165 views

Would it be a problem to use non-squared images for a CNN model?

I want to create a music sheet scanner using CNN Model and the images I am using are not squared and, if I make them squared, important data will be lost and it might confuse the model. Is it ok to ...
CelticusAndy's user avatar
0 votes
0 answers
115 views

Can AI/ML be used to decipher unknown text on such a low resolution scale of one or two letters to a pixel by color?

Can an image of unknown text, with resolution of about one or two letters in real life represented by a pixel (like if the image is a photo taken from far away), be used by machine learning or AI to ...
AndroidUser558's user avatar
0 votes
1 answer
37 views

How are OCR training datasets constructed?

For the sake of concreteness: let's suppose that the word "OCR" refers to any OCR system build on an R-CNN architecture. Similarly, in aims of simplicity, let's declare that we are ...
Ramiro Hum-Sah's user avatar
2 votes
2 answers
4k views

How to improve the performance of Easy OCR

I am working on a project that requires me to identify a product on a grocery shelf. For that, I am trying to use test recognition and localization to spot a product. I tried Easy OCR and tesseract ...
Suresh Nayak's user avatar
1 vote
0 answers
56 views

Effective fast mobile ocr model

I plan to develop OCR application which is mobile oriented and fast. (like 10~30 fps) The images that will be detected is not wild images. They are refined data such as cell phone capture images. In ...
Seo-jin Kim's user avatar
0 votes
2 answers
283 views

Concise and mathematically-oriented book on AI and neural networks suitable as a gift [closed]

I would like to buy a book about AI and neural networks written on accessible level for a 17 years old mathematically very gifted student interested in these topics. The book should contain some ...
yarchik's user avatar
  • 67
2 votes
1 answer
413 views

Which AI techniques are there that combine multiple models to make sense of data at different stages?

I have been working to design a system that uses multiple machine learning models to make sense of data that is dynamically webscraped. Each AI would handle a specific task, for example: An AI model ...
Bipbupbop's user avatar
5 votes
1 answer
458 views

Why object detection algorithms are poor in optical character recognition?

OCR is still a very hard problem. We don't have universal powerful solutions. We use the CTC loss function An Intuitive Explanation of Connectionist Temporal Classification | Towards Data Science ...
user avatar
5 votes
1 answer
875 views

In OCR, how should I deal with the warped text on the sides of oval objects?

Consider an image that contains one can (or bottle, or any similar oval object), which has texts all over it. In the image below, I have many bottles, but you can assume that each image only contains ...
Red's user avatar
  • 175
0 votes
1 answer
236 views

What are the disadvantages to using a distance metric in character recognition prediction

I am reading this paper, that is discussing the use of distance metrics for character recognition predicton. I can see the advantages of using a distance metrics in predictions like character ...
Slowat_Kela's user avatar
0 votes
1 answer
247 views

Can a convolutional neural network classify text document images?

I know convolutional neural networks are commonly used for image recognition, but I was wondering if they would be able to distinguish between predominantly text-based documents vs something like ...
Rocket04's user avatar
  • 103
0 votes
1 answer
40 views

Detect data in tables of roughly the same structure

I would like to train a model that serializes a table of nutrition facts into it's values. The tables can vary in form and colour, but always contain the same set of keys (e.g. carbs, fats). Examples ...
kapuetze's user avatar
4 votes
1 answer
497 views

How should I define the loss function for a multi-object detection problem?

I'm trying to create a text recognition project using CNN. I need help regarding the text detection task. I have the training images and bounding box details for them. But I'm unable to figure out ...
h4x's user avatar
  • 41
2 votes
0 answers
91 views

OCR - Text recognition from Image

I plan to develop OCR application using tensorflow to get the value from the image. Text in the image may handwritting or text printed. From the image, my ocr appplication will able to get the value ...
wei hin's user avatar
  • 31
0 votes
1 answer
166 views

How can I detect diagram region and extract (crop) it from a research paper [closed]

How can I detect diagram region and extract(crop) it from a research paper
Lalit Vyas's user avatar
1 vote
0 answers
382 views

How can I recognise the name of a molecule given an image of its structure?

I want to recognize the name of the chemical structure from the image of the chemical structure. For example, in the image below, it is a benzene structure, and I want to recognize that it is benzene ...
Lalit Vyas's user avatar
3 votes
0 answers
151 views

Is there a deep learning-based architecture for digit localisation?

I'm new to object detectors and segmentation. I want to localize digits on a plate as fast as possible. All images of the dataset are normalized to $300 \times 60$. There are different approaches to ...
Babak.Abad's user avatar
0 votes
1 answer
245 views

Generate credit cards dataset for locating number region

Currently I'm working on a project for scanning credit card and text extraction from cards. So first of all I decided to preprocess my images with some filters like thresholding, dilation and some ...
Shayan Tabatabaee's user avatar
0 votes
1 answer
256 views

Is there any way to classify Document Image without OCR? [closed]

I have multiple invoices images which need to classify invoice types such as fright, utility, goods, etc. Is there any way to classify without OCR?
kiran's user avatar
  • 9
5 votes
2 answers
240 views

How can we recognise musical notes in low-resolution or blurry images?

I was looking for an approach to recognise musical notes from photos. I found this repository https://github.com/mpralat/notesRecognizer. However, it doesn't seem good enough. If you look into the <...
Toskan's user avatar
  • 151
3 votes
1 answer
119 views

Attempting to solve a optical character recognition task using a feed-forward network

I am doing some experimentation on neural networks, and for that I am trying to program a plain OCR task. I have learned CNNs are the best choice ,but for the time being and due to my inexperience, I ...
Chal.lo's user avatar
  • 51
2 votes
0 answers
49 views

How does a neural network output text box location data?

I'm interested in creating a convolutional neural network or LSTM to locate text in an image. I don't want to OCR the text yet, just find the text regions. Yes, I know Tesseract and other systems can ...
Matthew Bishop's user avatar
2 votes
1 answer
855 views

Is it possible to use AI to denoise noisy documents?

I have some documents containing some text (machine writing text) that I intend to apply OCR on them in order to extract the text. The problem is that these documents contain a lot of noise but in ...
singrium's user avatar
  • 145
2 votes
0 answers
85 views

zonal or template ocr invoices reading

I'd like to explore the possibilities of applying artificial intelligence to ocr reading. Basic ocr invoices processing let me convert 30% of them only. The main purpose is defining invoices areas by ...
Gab's user avatar
  • 21
1 vote
1 answer
60 views

How much extra information can we conclude from a neural network output values?

Consider I have a 3 layers neural network. Input Layer containing 784 neurons. Hidden layer containing 100 neurons. Output layer containing 10 neurons. My objective is to make an OCR and I used ...
Paul Karam's user avatar
3 votes
2 answers
1k views

How could I use machine learning to detect text and non-text regions in scanned documents?

I have a collection of scanned documents (which come from newspapers, books, and magazines) with complex alignments for the text, i.e. the text could be at any angle w.r.t. the page. I can do a lot of ...
bipul kalita's user avatar
7 votes
2 answers
2k views

Effective algorithms for OCR

I am using Google's OCR to extract text from images, like receipts and invoices. Whare examples of techniques used to make sense of the text? For example, I would like to extract the date, name of the ...
Abhay Naik's user avatar
6 votes
1 answer
500 views

How should the racing agent take into account the velocity of the vehicle, given the images with a speedometer?

I'm developing a game AI, which tries to master racing simulations. I already trained a CNN (AlexNet) on in-game footage of me playing the game and the pressed keys as the target. As the CNN is only ...
TheJD's user avatar
  • 103
24 votes
3 answers
7k views

Why can't OCR be perceived as a good example of AI?

On the Wikipedia page about AI, we can read: Optical character recognition is no longer perceived as an exemplar of "artificial intelligence" having become a routine technology. On the other hand, ...
kenorb's user avatar
  • 10.5k
10 votes
3 answers
608 views

Are there any textual CAPTCHA challenges which can fool AI, but not human?

Are there any modern techniques of generating textual CAPTCHA (so person needs to type the right text) challenges which can easily fool AI with some visual obfuscation methods, but at the same time ...
kenorb's user avatar
  • 10.5k
1 vote
1 answer
132 views

What are the challenges for recognising the handwritten characters?

This 2014 article saying that a Chinese team of physicists have trained a quantum computer to recognise handwritten characters. Why did they have to use a quantum computer to do that? Is it just for ...
kenorb's user avatar
  • 10.5k