ocr | layer perceptron neural network | Machine Learning library

Example of numbers

I am using the standard pytesseract img to text. I have tried with digits only option 90% of the time it is perfect but above is a example where it goes horribly wrong! This example produced no characters at all

As you can see there are now letters so language option is of no use, I did try adding some text in the grabbed image but it still goes wrong.

I increased the contrast using CV2 the text has been blurred upstream of my capture

Any ideas on increasing accuracy?

After many tests using the suggestions below. I found the sharpness filter gave unreliable results. another tool you can use is contrast=cv2.convertScaleAbs(img2,alpha=2.5,beta=-200) I used this as my text in black and white ended up light gray text on a gray background with convertScaleAbs I was able to increase the contrast to get almost a black and white image

Basic steps for OCR

1. Convert to monochrome
2. Crop image to your target text
3. Filter image to get black and white
4. perform OCR

I am using Microsoft Computer Vision API for OCR processing and I noticed that they are getting charged as S3 transactions instead of S2 in my bill.

I'm using the .NET SDK and the API I am using is this one. https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.cognitiveservices.vision.computervision.computervisionclientextensions.readasync?view=azure-dotnet

I have also confirmed that the actual REST API the SDK calls is the following POST /vision/v3.2/read/analyze https://centraluseuap.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-2/operations/5d986960601faab4bf452005

According to documentation, that should be the OCR Read API, am I correct? https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/vision-api-how-to-topics/call-read-api

I am puzzled as to why my calls are getting charged as S3 instead of S2. This is important for me because S3 is 50% more expensive than S2. Using the Pricing Calculator, 1000 S2 transactions is $1, whereas 1000 S3 transactions is $1.5. https://azure.microsoft.com/en-us/pricing/calculator/?service=cognitive-services

What's the difference between OCR and "Describe and Recognize Text" anyways? OCR (Optical Character Recognition) by definition must recognize text. I am calling the Read API without any of the optional parameters so I did not ask for "Describe" hence the call should be S2 feature rather than S3 feature I think.

I already posted this question at Microsoft Q&A but I thought SO might get more traffic hence help me get an answer faster. https://docs.microsoft.com/en-us/answers/questions/689767/computer-vision-api-charged-as-s3-transaction-inst.html

I'll premise that I've already googled and read the documentation before writing, I've noticed that it's a popular discussion here on StackOverflow as well, but none of the answers already given have helped me.

I created a Google Cloud account to use the API: Google Vision.

To do this I followed the steps of creating the project, adding the above API and finally creating a service account with a key.

I downloaded the key and put it in a folder in the java project on the PC.

Then, since it is a maven project I added the dependencies to the pom as described in the tutorials.

At this point I inserted the suggested piece of code to start using the API.

Everything seemed to be OK, everything was read, the various libraries/interfaces were imported.

But an error came up as soon as I tried to run the program:

The Application Default Credentials are not available. They are available if running in Google Compute Engine. Otherwise, the environment variable GOOGLE_APPLICATION_CREDENTIALS must be defined pointing to a file defining the credentials.

I must admit I didn't know what 'Google Compute Engine' was, but since there was an alternative and I had some credentials, I wanted to try and follow that.

So I follow the instructions:

After creating your service account, you need to download the service account key to your machine(s) where your application runs. You can either use the GOOGLE_APPLICATION_CREDENTIALS environment variable or write code to pass the service account key to the client library.

OK, I tried the first way, to pass the credentials via environment variable:

• With powershell -> no response

So today I updated Android Studio to:

Task: Keras captcha ocr model training.

Problem: I am trying to print CAPTCHAS from my validation set, but doing so is causing the following error

I have a variable named Tactic (migratory tactics for a predatory species of fish) that contains three levels i.e "Migr", "OcRes", "EstRes" see data below:

I want to extract dates from OCR images using the dateparser lib.

Is it possible to somehow make it so that all text in a document is black on white after thresholding. I've been looking online alot but I haven't been able to come to a solution. My current thresholded image is: https://i.ibb.co/Rpqcp7v/thresh.jpg

The document needs to be read by an OCR and for that I need to have the areas that are currently white on black, to be inverted. How would I go about doing this? my current code:

I've used tesseract OCR in Python to convert the Financial statement pdfs to text files, while converting the long whitespaces into ";". So the text file looks pretty nice and the tables are looking good.

Using an example found here https://cdn.corporatefinanceinstitute.com/assets/AMZN-Cash-Flow.png