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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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CTC Loss incredibly low for wrong output

I am trying to train an OCR model with Vision Transformers. While training the output is a vector with values full of zeros which is obviously padding value. But the CTC loss was small that it was ...
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19 views

Arabic words are reversed when I call lstmeval while training in tesseract

I've been trying to train for a new font using Tesseract. It has worked with the default data. But I wanted to train the model for my own generated data which is close to the data that I wanted to use ...
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124 views

EasyOCR: Does training the model with one letter images help word prediction?

https://github.com/JaidedAI/EasyOCR/issues/623 EasyOcr gives 1000 images as an example for training. They have one or two words for each image. So it makes me doubt, is it a bad idea to give the model ...
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Is this a good implementation of this LSTM architecture?

I had been looking at some OCR problems and came across this presentation. I implemented it. In the presentation, there is the LSTM-Stack (diagram and algorithm, slide 32): Here is a visualization of ...
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Machine Learning Algorithm for OCR on full pages of text

I would like to build an OCR application. In. particular, I want my algorithm to scan entire pages of text in a specific niche language. I was therefore wondering if there are some algorithms that ...
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2 votes
1 answer
90 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 ...
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4 votes
1 answer
171 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 ...
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2 votes
1 answer
240 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 ...
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1 answer
88 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 ...
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1 answer
97 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 ...
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  • 103
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1 answer
34 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 ...
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2 votes
1 answer
154 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 ...
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2 votes
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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 ...
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1 answer
103 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
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1 vote
0 answers
166 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 ...
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2 votes
0 answers
100 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 ...
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1 answer
104 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 ...
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1 answer
158 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?
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5 votes
2 answers
114 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 <...
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3 votes
1 answer
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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 ...
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2 votes
0 answers
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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 ...
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2 votes
1 answer
682 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 ...
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2 votes
0 answers
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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 ...
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1 vote
1 answer
48 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 ...
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3 votes
2 answers
798 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 ...
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6 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 ...
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6 votes
1 answer
484 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 ...
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20 votes
3 answers
6k 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, ...
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10 votes
3 answers
576 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 ...
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1 vote
1 answer
102 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 ...
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