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Questions tagged [ocr]

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text.

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Tips for pre-processing long unstructured text?

I'm working on a React-Node project where I'm trying to pre-process some text before passing it to GPT-4 to perform information extraction out of it, the flow of the project is: User uploads document ...
Abdul Munem's user avatar
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Arabic characters license recognition

I am trying to detect the Arabic characters in a vehicle license plate. I already detect the license plate with good accuracy. However, I tried OCRs on the license plate and the accuracy was horrible. ...
Ahmed's user avatar
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Character-wise accuracy for image-to-text models

is it possible to enforce image-to-text models like ViT or a simple CNN+Transformer to achieve character-wise accuracy? Here's the context of my project: I am developing a model to extract some ...
CarlV's user avatar
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Can an OCR model consistently recognize every digit of a long number correctly?

I'm working on OCR on scanned documents and we need to recognize the exact sequence of some printed numbers on it. Imagine you're reading a bank cheque serial number (16 digits) so the system needs to ...
TlifeProgram's user avatar
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9 views

Seeking ML Model Recommendations for Enhancing OCR on Corrupted Text Images

I am working on a project where I need to perform Optical Character Recognition (OCR) on text-based images. However, these images are corrupted in various ways (e.g., blurred, distorted, low ...
Nurbek Ss's user avatar
1 vote
1 answer
44 views

text extraction from bank statements from pdf format

I have bank statement memos containing transaction tables I need to extract. I only need to extract the transactions list. I have tried to use the Amazon text extractor, LayoutLM but since every bank ...
Abduhoshim's user avatar
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1 answer
29 views

How to extract handwritten phone numbers from a huge set of documents?

Say you have a lot of PDF documents, say K documents. Each document Di is Ni pages long. In one of the Ni pages (don't know which, say Pi), there is the information you need to extract. I am thinking ...
Anmol Deep's user avatar
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301 views

How would one use llm's to proofread OCR texts?

I had thought to use simple statistics, Markov chains and a list of common OCR errors to find unlikely words and characters and their most probable replacement, But even a simple llm should do a ...
user2801282's user avatar
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Highlight specific paragraphs from documents

I have a bunch of documents in which I want to highlight certain paragraphs/keyphrases. I have a list of the most frequently appearing sentences and I want to search for these paragraphs/keyphrases in ...
spectre's user avatar
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35 views

An OCR model that can be easily improved on the user side

I am building OCR software, for this purpose I trained a model on many types of fonts, the model is SVM or NN but it is not ...
google dev's user avatar
3 votes
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180 views

Multi-page document image classification [closed]

Sorry for the long post but I needed it to be able to capture all the details and questions. I am working on multi-page document image classification problem and am kind of confused on what approach ...
asanoop24's user avatar
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CNN Model Outputting All Zero's

I'm pretty new to machine learning and am having trouble with creating my first TensorFlow convolutional neural network. I'm using datasets from http://etlcdb.db.aist.go.jp/ and trying to get my ...
al3xbro's user avatar
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Any chance of recovering/deciphering typewritten (monospaced) eroded text?

I was looking for interesting problems to motivate me to implement my first NN classifier, and I think I found one; but perhaps I'm starting with something too difficult. The problem is to get ...
Lem0n's user avatar
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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
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724 views

Help with easyocr fine tuned model inference

I have trained a custom model, I have the yaml file and pth file and the py file in the correct directories. But now I face this error ...
Sardar Arslan's user avatar
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1 answer
242 views

OCR with grouped text based on solid rectangles

I can read text from an image using OCR. However, it works line by line. I want to now group text based on solid lines surrounding the text. For example, consider I have below rectangle banners. I can ...
harvpan's user avatar
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779 views

Bold text detection

I am currently working on a project where I need to detect bold text on a multi font-size image (so no mathematic morphology possible). This detection will be used in parallel of an OCR system (with ...
Ketchup's user avatar
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1 vote
1 answer
530 views

Floor plan analysis

Given an image of a floor plan, is there a known algorithm I can use to understand measurements of all apartments present ? (for example, that means in the attached picture understanding there are 4 ...
Idan's user avatar
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2 answers
680 views

extracting data from unstructured pdfs

I have about 200,000 PDFs made up of 20 different designs. i.e In an organization, different (20) departments issue monthly award submission requirements. Each department has its own document format. ...
capiono's user avatar
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1 answer
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LSTM layer (keras) is causing all layers after it to constantly predict the same thing no matter the input

I have a model for OCR, which after 2-3 epochs gives the same output. When I predicted the values and looked at the output for each layer I realized that all layers after the 1st layer in the LSTM ...
jr123456jr987654321's user avatar
1 vote
0 answers
94 views

Entity Linking for Receipts [closed]

I am building a model for reading receipts from their mobile snapshots. After the receipt is OCR'd, I plan to use a variation on LayoutLM for entity extraction. Entities are: "quantity", &...
fierval's user avatar
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No gradients provided for any variable, when using Lambda to round model output

I have a problem where I need to predict some integers from an image. The problem is that this includes some negative integers too. I have done some reasearch and came accross Poisson which does count ...
jr123456jr987654321's user avatar
1 vote
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7 views

What is the algorithm for reading computerized text and handwritten numeric text from a tabular image using Python?

I want to read this image text
shahid rasool's user avatar
1 vote
0 answers
16 views

Are there any publicly available scan document database containing text together with ticked/unticked checkboxes?

I would like to train an optical mark recognition model (OMR) to detect and classify the ticked/unticked state of checkboxes in documents. Does anyone know where I can have access to a publicly ...
nous's user avatar
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1 vote
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How Does EAST detector implementation with VGG16 look? How many outputs does it have?

I was reading the Efficient and Accurate Scene Text Detector paper and saw the author reference VGG-16 as a possible stem "feature extractor" network. In the paper they say: In our ...
Arjun's user avatar
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1 answer
491 views

How to start with receipt OCR text detection

I'm thinking about an OCR system for digitalizing receipts. On the input system would take a picture of receipt and then return classified data (total_sum = Y, date = X, etc.). My question is ...
noobiedatascientist's user avatar
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1 answer
503 views

Receipt fraud detection

I'm developing an OCR service that scans receipts and assigns points to user, based on amount of money spent. But the problem is that user can forge fake receipts and redeem them for extra points. ...
noobiedatascientist's user avatar
1 vote
0 answers
2k views

What is the best approach to extract keys/values from documents?

I am thinking of training a model to automatically extract information from more or less structured documents like invoices. Here are the main challenges regarding this task: In fact, even though ...
Don Draper's user avatar
1 vote
0 answers
191 views

Create a model that can extract only specific data out of receipts or invoices?

I'm trying to build a model that is capable of identifying only some of the information on receipts and invoices. All the documents having different structure in image format. Sample Data : Click here ...
Manish's user avatar
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2 answers
105 views

how can i detect medicine name and info(use and contents) by using medicine wrappers

I got one project idea creating a Cross-platform react-native app the project title is creating an app that can detect medicine name and other info from the medicine wrapper I'm thinking of using ...
krishna kakade's user avatar
1 vote
0 answers
513 views

Image segmentation network to extract questions from an image of a test paper?

This is the sample document -> I want to extract questions along with the options. There are other question papers as which have questions with diagrams in them. I want to be able to extract them ...
Faraz Gerrard Jamal's user avatar
2 votes
0 answers
135 views

What is the difference between ICR and OCR?

I've just found the term "Intelligent Character Recognition" (ICR) on Wikipedia and other pages. According to Wikipedia: In computer science, intelligent character recognition (ICR) is an ...
Martin Thoma's user avatar
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1 vote
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Is there any research on zonal OCR / field level ORC / template OCR?

I've recently found the term "Zonal OCR": (source 1, 2, 3, 4). It seems to be essentially OCR, but restricted to relevant parts of the document. The interesting task about which I want to ...
Martin Thoma's user avatar
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45 views

proper activation function at output and loss function to optimize for OCR?

I am trying to make a CNN model on IAM handwritten words data(which has images of words handwritten by multiple people and targets are text in the images). So, I can encode words to numbers(A=0, B=1 ...
Naveen Reddy Marthala's user avatar
1 vote
0 answers
166 views

Possible?: Split pdf file on pages where object detection algorithm finds custom object

I have scanned documents in large pdf files consisting of many individual documents. Each document begins with a exhibit number sticker, much like this one: example. The files are scanned in greyscale....
Rookml's user avatar
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2 answers
517 views

How to detect medicine name from the medicine wrapper

I have got medicine wrapper ( Packaging ) of different medicines. I want to detect medicine name out of it. I'm using Google Cloud Vision to extract all the text from the medicine wrapper. Text ...
Åbħísħêk Đêsħkăr's user avatar
0 votes
1 answer
42 views

Context capturing in a Structured PDF?

I'm trying to extract resume (PDF) data. resumes always tend to follow a structure. so if you see some numbers in a cv; according to the context, we could tell whether its a telephone number, a ...
sakitha_sen's user avatar
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42 views

How to segregate resume layouts into different types?

I'm looking for any suggestions on how to segregate resume layout into different types. How do one proceed with such a task? I mean resumes are usually available as pdf or docx format and when we ...
Sai Kumar's user avatar
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0 votes
1 answer
102 views

License Plate OCR

Are there any pretrained models or annotated data available for license plate detection? I've seen some sets but most of them are little in size. I'm more interested in prod-like quality. Are there ...
Piotr Rarus's user avatar
0 votes
1 answer
976 views

How to create a model to recognize matching label and ROI with OCR

I am trying to make a model in python using Tensorflow to process the Tesseract OCR to detecting and extracting particular ROI from Image. I want to recognize the particular fields and values from ...
Neeraj Kumar's user avatar
2 votes
0 answers
61 views

Extracting document templates from similar documents

Using very basic techniques (zone segmentation + OPTICS) I was able to organize a set of around 10^4 business documents (invoices, receipts) into hierarchy of clusters of documents of similar layout. ...
dzieciou's user avatar
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5 votes
1 answer
9k views

Pretrained handwritten OCR model

I've been looking around for pretrained models dedicated to handwritten OCR. So far I've found very little. Could you please share, if you know any? I find tesseract...
Piotr Rarus's user avatar
4 votes
1 answer
237 views

Fake News Detection problem

I would like to work on a project for Fake News Detection especially for Indians news which are in different languages and different formats. Fake news as image with no or very less text Fake news on ...
Akash's user avatar
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0 votes
0 answers
48 views

How to build a OCR for reading text from image?

This is my first time working on a OCR application. I have lot of scanned images of English text-book pages like this and I want to build a OCR using DL to ...
user_12's user avatar
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1 vote
0 answers
772 views

how to resize image without changing DPI in opencv for detecting text and feeding into OCR?

i resized the image using open cv and it changed the dpi of the image from 300 dpi to 90 dpi . What is the correct way to resize image without changing its dpi in open cv . if we feed the resized ...
star's user avatar
  • 1,471
9 votes
1 answer
3k views

How can you build a model that extracts data out from receipts?

I'm trying to build a model that is capable of identifying information on receipts and invoices. I have used google cloud vision api for text extraction from the receipt but the problem is it just ...
user_12's user avatar
  • 347
1 vote
0 answers
5k views

how to resolve this error in Tesseract : (2, 'Usage: pytesseract [-l lang] input_file') [closed]

pytesseract.pytesseract.tesseract_cmd = r'/usr/local/bin/pytesseract' img = Image.open("/content/drive/My Drive/abc.jpg") print(pytesseract.image_to_string(img)) ...
star's user avatar
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1 vote
0 answers
22 views

detect diagram region in research papers

How can I detect diagram region and extract it from a research paper
Lalit Vyas's user avatar
1 vote
1 answer
237 views

optical chemical structure recognition from images

I want to recognize name of the chemical structure from the image of chemical structure, like in the given image it is benzene structure I want to recognize that it is benzene from the image(I should ...
Lalit Vyas's user avatar
1 vote
1 answer
104 views

Evaluating information extraction from structured documents

I'm trying to find metrics to evaluate multiple algorithms for key information extraction from already OCRed invoices. For instance, such an algorithm, given an invoice, could find that: ...
dzieciou's user avatar
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