How can I analyze broken/partial QR codes? Normally a QR decoder will just tell you that the data can not be read. This is not very useful. Even though the code is not readable, some information can, presumably, be extracted!
How can I extract this information from broken/partial QR codes?
They are designed as damage-resistant. QR code uses Reed–Solomon error correction so that even if a QR code is damaged, we can still read them. When users are generating QR codes, they can select which correction level to use. There are four error correction levels: Low, Medium, High and Quartile.
Known as error correction, QR Codes can sustain up to 30% of structural damage and still continue to function. The pixelated parts you see on a QR Code are doubled so that if some are damaged, then others make up for them and still convey the data to the scanner.
In case you need the QR code to work again there is an easy fix. All you have to do is recreate a new link with the same domain name and slashtag as the one that was deleted. To discover which link is associated with a specific QR code you can use an online tool such as https://zxing.org/w/decode.jspx.
This is a question that comes up in many ways; some easier than others.
Software can help but to decode partial or misprinted codes takes some work. It is like detective work. You need to take what you have and fill in what you know about the way they are created in the first place, then make educated guesses for the win.
Here is a tour of the concept. By looking at these articles most of the items on your bullet-point list will be answered.
This article explains the overall format in good detail:
Wounded QR Codes
For instance, here is the first image in the article about formatting:
Here is a real-world example of the process of decoding a partial image:
Decoding a partial QR code
It begins with the challenge image
Then shows you the order of bits that are encoded:
Then through the process of detective work to produce the final image:
Here is a different problem. You have a full image but it won't scan properly so you have to decode it by hand:
Decoding small QR codes by hand
It starts out with a tattoo:
Which is in the wrong orientation, and also won't scan properly.
So you work through the decoding process:
Yielding the final result: Maci Clare Peltz
Have fun detecting!
You can simply hack some open source code like zxing to print out its progress on a command line during decoding and in that way see how far it got. Just sprinke in a few System.out.println()
statements.
The problem is false positives. It will almost always find at least 3 regions that look like a QR code's finder patterns; it always takes the 3 most likely candidates. They usually are phantoms since you're usually not looking at a QR code. The next step would then fail, finding valid version info. (In a very unlikely case it would even find phantom version info.)
Some of these aspects you mention aren't necessarily detected by a library since they don't have to be, like timing pattern and stop pattern (which isn't required for short data).
Aside from those caveats, should be easy.
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