The Stack Overflow podcast is back! Listen to an interview with our new CEO.

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.

Filter by
Sorted by
Tagged with
0
votes
0answers
7 views

Tesseract training- JTessBoxEditor issue

I am trying to train my tesseract by making box characters in the images but the JTessBoxEditor is not recognising any characters. When running the command --> tesseract eng.arial.exp1.tiff eng.arial....
0
votes
0answers
14 views

Image Classification approach for Text images

Let me introduce myself as a beginner to machine learning problems. We are trying to build a system to classify images of text-data like bills, orders, bank-statements etc. We started with the image ...
0
votes
1answer
26 views

Classifying Letters using CNN - Help

so some context, I'm trying to develop an OCR (for fun) and for that reason I decided to first find text within a page, parse it in to letters within the text and from there try and classify the ...
0
votes
0answers
19 views

Representing and Training Individualized Models

Say I want to create a handwriting OCR or speech-to-text system intended for many users. A first pass might be to train a single one-size-fits-all model on all available data to predict all users' ...
2
votes
1answer
19 views

How to segment old digitized newspapers into articles

I'm working on a large corpus of french daily newspapers from the 19th century that have been digitized and where the data are in the form of raw OCR text files (one text file per day). In terms of ...
0
votes
0answers
11 views

Tesseract OCR: recognize old letter types

I want to extract text from images like the one below. Note that the letters are "old German" type of letters (from the 1830s in the case below). I use the following code: ...
1
vote
0answers
23 views

Best OCR approach on documents with different formats to find one specific information

Unfortunately, because of confidential data, I can't give a more specific explanation. The Problem So I've got a few documents that in general contain the same information but have different formats....
1
vote
1answer
152 views

Extract text from a image - OCR

This is the first time I am working with OCR. I have an image and want to extract data from the image. My image looks like this: I want to extract the parameters and the values against them. Can ...
0
votes
1answer
30 views

training neural nets for OCR

we are trying to build an in house OCR system to extract alphanumeric strings from images (kindly note, most of our clients cant afford to send their data onto the cloud so it rules out any API from ...
0
votes
1answer
190 views

Extracting structure and content from invoices

Lately, I have been largely inspired by this https://rossum.ai/, which is able to extract text from invoice documents. Do you have any ideas on how this could be implemented? It's clear that they ...
0
votes
1answer
42 views

Data set of vectors of SVG paths for digits

I have used the MNIST data set many times to train models for digit recognition based on object character recognition (OCR). I am now trying to do the same but with a data set of svg paths.. I am ...
1
vote
0answers
204 views

Character segmentation using deep learning

I'm developing a character segmentation algorithm for license plate OCR. My algorithm includes two steps: segmentation and recognition. There is almost no problem for recognition thanks to CNN. My ...
0
votes
0answers
17 views

What (and how) should I use for object detection in this case?

I have read a few papers on object detection and analyzed several implementations of object detection applied to car number plates. In my case, the task is a bit more difficult in that I need to ...
1
vote
1answer
267 views

Reading meters with tensorflow

I'm new to ML world and been reading about ML and TensorFlow. My goal is to read the following example in real time with Android phone: So I tried firebase ML OCR and it works really good, it reads ...
1
vote
1answer
29 views

Does CRNN use sparse tensor value for its label?

I just read paper about cnn + rnn for text recognition. The labels of dataset is tensor of char index (e.g [0, 1, 2 ] for image with label "abc"). Since the label of each input has different length ...
1
vote
0answers
43 views

Extracting text from few areas on product label

I'm trying to achieve algorithm that will extract text from few areas(marked with red color) on label(similar to attached image) and QR code on a single photo taken with mobile camera so label may be ...
0
votes
0answers
13 views

Is Tesseract limited to character recognition or is there any post-recognition “check” included in it?

i am not sure if tesseract is limited in recognizing characters or if it also includes a post-ocr word reconstruction. Can anyone help me with that? For example, if tesseract recognizes the sequence "...
1
vote
0answers
141 views

OCR in book spines

I'm experimenting with OCR on book spines, as a way of cataloguing books which are on shelves without the tedium of taking out each one and scanning a barcode. I need a way to tell if I have ...
1
vote
0answers
37 views

How to approach training a machine to read a form

After many rewrites I'm still not entirely thrilled with how I've presented this.... please delete if inappropriate. Background As part of my job, we record observations on underwater paper and then ...
1
vote
0answers
87 views

OCR on striked-out text

I have the following image with me: I want to identify the text, which is the amount mentioned at the bottom of the table. However, the bottom edge of the table goes through the text in this case. ...
2
votes
1answer
340 views

Machine learning algorithm which gives multiple outputs from single input

I need some help, i am working on a problem where i have the OCR of an image of an invoice and i want to extract certain data from it like invoice number, amount, date etc which is all present within ...
1
vote
1answer
57 views

How can I split an image into rectangles?

I have a labelled form to which people will add their name and a series of numbers. They will then take a picture of the form. Like so: I can get decent results by simply sending this to AWS ...
6
votes
1answer
1k views

How can you build a model that reads out receipts and invoices?

The objective is to build a model that is capable of identifying information on receipts and invoices that can look completely different. I've had a discussion with my brother about the right ...
1
vote
1answer
2k views

High, constant training loss with CNN

I try to solve a multi-character handwriting problem with CNN and I encounter with the problem that both training loss (~125.0) and validation loss (~130.0) are high and don't decrease. I use the ...
6
votes
1answer
73 views

Can I train two stacked models end-to-end on different resolutions?

Is it possible to stack two networks on top of each other that operate on different resolutions of input data? So here's my usecase: like Google, I want to recognize text in images. Unlike Google, I ...
2
votes
1answer
80 views

What model to use for matching two datasets

I've got 500 images of paper receipts scanned and OCR as one dataset. I also have a dataset of transactions from my credit card statement including amount and date. What model is best to match the ...
1
vote
0answers
72 views

How to segment a scanned Page so that it can be fed into an OCR [closed]

I have an OCR that can read a given character. Now I want to build something that can take a scanned document and convert it into text. The problem is how do I segment each character? I know this can ...
4
votes
1answer
3k views

how can I solve label shape problem in tensorflow when using one-hot encoding?

I used tensorflow to recognize text from natural images by using convolutional neural network; there is no specific number of characters in the text. To make a successful training I should convert the ...
4
votes
1answer
136 views

what is the loss function in char recognition using Tensorflow?

I have code in Tensorflow using convolution neural network to recognize the characters in street view Text (SVT) data. Since the label type is string, what should I use instead of ...
2
votes
1answer
4k views

How to improve OCR (Scanning) results?"

Below is text output obtained after ocr image to string of medical discharge summary report. ...
7
votes
1answer
2k views

How to pass features extracted using CNN into RNN?

I have word images as below: Let's say it's a 256x64 image. My aim is to extract the text from the image as 73791096754314441539...
4
votes
1answer
268 views

What is representation in optical character recognition?

I am learning OCR and reading this book The authors define 8 processes to implement OCR that follow one by one (2 after 1, 3 after 2 etc): Optical scanning Location segmentation Pre-processing ...
4
votes
1answer
1k views

Document Layout Analysis - state-of-the-art?

What is the current state-of-the art within document layout analysis? I.e. detecting columns, separating images from text, distinguishing between page numbering and text and so on. I am looking for ...
3
votes
2answers
2k views

What is the best approach for specified optical character recognition?

I have a quite understandable request of extracting information (invoice number, invoice data, due date, total etc.) from scanned invoices (the digital format is image, not PDF), preferably in Python. ...