scantailor-advanced VS BoofCV

There's also https://scantailor.org/ (and a maintained fork at https://github.com/4lex4/scantailor-advanced ) which semi-automates unwarping and other corrective tasks in scanned books.

ScanTailor Advanced (downloads are in the sidebar, labeled as "Releases") is a little more complex. It takes a folder of images and performs a series of steps to produce good book scans, though it might be useful for your purpose as well. The first step after importing images is to split them up, and ScanTailor does this by looking for straight lines that might indicate a gap between pages. Now, I don't know if this will handle any more than two pictures per image, but it will at least handle doubles. ScanTailor will also attempt to automatically deskew pictures, and then there are a few steps that you'll need to take to make your pictures come out nicely.

My preferred method is to take pictures of all the pages of the book (Open Camera has a nice option to take a new picture every n seconds), optionally touch them up with ScanTailor (automated), and then turn all the images to a PDF using NAPS2 (which will OCR the text as it goes in).

Next is the cleanup. Scan Tailor is the best game in town for this, but it's a dead project. Instead, there are two forks that have picked up where the original developers left off. Scan Tailor Advanced is my current fork of choice, though Scan Tailor Universal tries to add new usability features. For whatever reason, only Advanced makes full use of my CPU, so it's several times faster than Universal for the time being.

No problem. https://github.com/4lex4/scantailor-advanced/releases

If you are interested in more ways to treat a scan, ScanTailor is definitely an option. I am using a fork called ScanTailor Advanced which is available under GPL-3.0 on GitHub. With this tool you can also crop your images and apply options like threshold or posterization to improve readability while further reducing the file size.

I use a £15 arm with a vice grip for my phone from Amazon, copy the files to my laptop and then run a bash for-loop of the tesseract CLI over the resultant files.

I use https://github.com/4lex4/scantailor-advanced to deskew the images and generate the PDF.

It isn't perfect but my purposes are more around research than publication, so, YMMV!

BoofCV https://github.com/lessthanoptimal/BoofCV

Is there any fast way to get pixel values and pixel coordinate? I had to jump through a lot of hoops to get convert BufferedImages into a format that's useful for image processing it to be a reasonable speed in BoofCV. getRGB() is glacial. At one point I was trying to convince the JDK team to make private data structures public again. Right now it's inconsistent what you have access too.

Apologizes if this post runs afoul of the rules. This is a product we are making that started as an open source project (here).

I will take the opportunity to call out one of my favourite libraries, BoofCV (http://boofcv.org)

It comes with a wonderful demonstration tool that allows you to apply the various included algorithms to images and tweak the parameters in real-time – including the Hough transform. A great tool for helping to understand how these kinds of algorithms work!

Speaking of using the vector api, I see there's a class in boofcv that converts rgb to hsv. I've previously written a simd accelerated version of rgb to hsv using the java vector api. For anybody looking to do a bit of code janitor work, converting the one-off library into something that could be contributed to /u/lessthanoptimal's project might be a worthwhile contribution.

For instance I looked at BoofCV and all I found was : https://github.com/lessthanoptimal/BoofCV/issues/265 " the question now seems to be can you compile the library as native. The answer is probably but someone needs to try it."

It's an all-Java computer vision library, see https://boofcv.org/ and https://github.com/lessthanoptimal/BoofCV

project website: https://boofcv.org

There really is a community for everything on Reddit... Anyways, so I've updated the tutorial on QR Codes in BoofCV. If you're not familiar with it, BoofCV is a computer vision library that also includes a high quality QR Code scanner. Plenty of benchmarks and examples can be found on the website to back that up. Here's a link to the tutorial page and please let me know if it all makes sense. The tutorial focuses on applications which are either command line or have a GUI.