I tried reading them manually about ten years ago, but gave up because of the mask. The mask pattern needs to be applied (xor) before you can even tell as much as the data type...
Does anyone know how much it actually helps QR code readers to have this mask pattern applied?
Last month, I tried to find out what the optimal error correction setting is (answer: none, if the matrix isn't damaged, like in my use-case where it's shown on a screen), which wasn't easy to find. I didn't find anyone who actually went out into the real world and tried out different settings and different scanning implementations to see what the effect is of choosing a good mask or choosing a good error correction value. In the end, a theoretical answer was enough for my application because I can assume the QRs to be pristine, but in a perfect world we also wouldn't need a mask setting. I then tried to do some research of my own by reading a small QR off my screen with different error correction levels and an intentionally shaking camera to simulate read issues when someone points a smartphone, but found no significant difference between any of the settings. With there being at least four alignment markers, a huge quiet area, and a "timing pattern", does it really matter if there are white blobs due to not having a mask?
(The secondary reason why I gave up trying to read QRs visually is because I noticed they always have the URL written below as fallback anyway. Since then, I did see a few times where there was no fallback, but it's very rare)
Does anyone know how much it actually helps QR code readers to have this mask pattern applied?
Last month, I tried to find out what the optimal error correction setting is (answer: none, if the matrix isn't damaged, like in my use-case where it's shown on a screen), which wasn't easy to find. I didn't find anyone who actually went out into the real world and tried out different settings and different scanning implementations to see what the effect is of choosing a good mask or choosing a good error correction value. In the end, a theoretical answer was enough for my application because I can assume the QRs to be pristine, but in a perfect world we also wouldn't need a mask setting. I then tried to do some research of my own by reading a small QR off my screen with different error correction levels and an intentionally shaking camera to simulate read issues when someone points a smartphone, but found no significant difference between any of the settings. With there being at least four alignment markers, a huge quiet area, and a "timing pattern", does it really matter if there are white blobs due to not having a mask?
(The secondary reason why I gave up trying to read QRs visually is because I noticed they always have the URL written below as fallback anyway. Since then, I did see a few times where there was no fallback, but it's very rare)