ocrad.js | OCR in Javascript via Emscripten
kandi X-RAY | ocrad.js Summary
kandi X-RAY | ocrad.js Summary
ocr in javascript via emscripten by [kevin kwok] as with any minor stepping stone on the road to hell relentless trajectory of atwood’s law, i probably don’t need to justify the existence of yet another "x, but now in javascript!", but i might as well try. after all, we all would like to think that there’s some ulterior motive to fulfilling that prophecy. on tablet or other touchscreen devices- of which there are quite a number of nowadays (as the new year’s eve post, i am obliged to include conjecture about the technological zeitgeist), a library such as ocrad.js might be used to add handwriting input in a device and operating system agnostic manner. oftentimes, capturing the strokes and sending them over to a server to process might entail unacceptably high latency. maybe you’re working on an offline-capable note-taking app, or a browser extension which indexes all the doge memes that you stumble upon while prawling the dark corners of the internet. if you’ve been following my trail of blog posts recently, you’d probably be able to tell that i’ve been scrambling to finish the program that i prototyped many months ago overnight at a hackathon. the idea of the extension was kind of simple and also kind of magical: a browser extension that allowed users to highlight, copy, and paste text from any image as if it were plain
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QUESTION
I am looking for Javascript API for OCR or Machine Learning example (Tensorflow.js or any other) which can recognize numbers from the picture. I tried tesseract.js and OCRAD.js, but both do not work well with this kind of image. I only need numbers from this picture like 2.243 and 0048. I also put to tesseract.js settings, that it is numbers only, but it did not help much.
The picture is a photo of the digital device, which does not have API to connect and get data digitally. I would like to use webcam and javascript OCR and get these numbers periodically from this device to the list and build the graphs later.
I found a lot of examples for Tensorflow recognition of handwritten digits, but all of them can recognize only one digit, they cannot recognize a number consisting of more than 1 digits.
P.S. I do not want to spend a lot of time, actually I do not have this time :). Just want to reuse ready example.
...ANSWER
Answered 2019-Oct-10 at 21:15I have used AWS Rekognition and Azure Cognitive Services. Both perform well in terms of accuracy. I found Azure's HTTP model simpler.
Please bear in mind that both Azure and AWS have different offerings for extracting printed text (OCR) and text inside pictures.
Azure
Steps for configuring Azure Cognitive Services
You will need to sign up with Microsoft's Azure portal
Log in to https://portal.azure.com
Click on the "+Create Resource" link on the top left
Type the word "Cognitive" and hit ENTER
This should bring up "Cognitive Services"
You will be presented with a form . Select Name, Subscription, pricing tier, location, etc.
You may have to create a Subscription before reaching the above step. I do not remember how.
Once done with the above, you will be presented with the URL and app key
You can now use the REST api to upload PNG files and get back a JSON with the text
I also found this URL which gives you the option for a free trial . https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/
Link to code documentation: https://docs.microsoft.com/en-gb/azure/cognitive-services/computer-vision/quickstarts/csharp-print-text
AWS Rekognition
https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html
This is what I got from AWS Rekognition by using your image
EAST text detector
You could give this a try. OpenCV embeds this. You will have to set up your back end service.
https://www.youtube.com/watch?v=o5asMTdhmvA https://www.youtube.com/watch?v=NfiCmhLLxMA
QUESTION
so I'm utilizing the Ocrad.js library in an ionic project to be able to read text from images. In the app, the user can add 'items' (as in words) to an array and then I would like to check whether or not these items (words) are present in the text from the image. For instance: if the image has a sentence: 'I like football' and the user added the word 'football' to the list, on the press of a button, the app would check whether or not 'football' exists in 'I like football' and would say so to the user. In an else occasion, it would also say so.
So far I came up with this situation:
...ANSWER
Answered 2018-Jan-06 at 19:40You should use an nested for loop.
QUESTION
ANSWER
Answered 2017-Mar-19 at 17:15Sorry if this was not clearly explained in the documentation, but pdfreader is meant to be run on node.js, not in a web browser. Hence the require
problem.
Here is how to convert your PDF résumé into text, from Node.js:
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