Hi Allistair, Thanks for your reaction. My idea is an app which people can use on there Android smartphone thats scans the meter reading. The red characters don't have to be scanned. I was planning to use an overlay for getting a better image for the OCR. Besides that i will implement an fallback.
Op dinsdag 21 juli 2015 11:03:37 UTC+2 schreef Allistair C: > > You will have much better success here by developing a routine that crops > out the area of the meter containing the numbers before running it into > OCR. If for instance all your meters look the same, you can guide the > creation of the photo with for instance an app with an overlay of where to > position the meter in the camera view (see card.io for an example). Then > you can focus on OCR for the digits and there are many other posts on this > forum about improving OCR for these kinds of display I think. > > The red one is hard because it looks like it can be partially in-view and > so you won't get a good read off of any non-fully-rotated numbers. Solving > that part is beyond what I know but I would be surprised if OCR will do it. > Maybe better to look at template matching perhaps. I guess if you follow > what I said about getting an image of just the number strip then you can > partition that into each number. You can then crop the borders away leaving > 6 images and then you can measure the amount of white at top and bottom. If > you find there is a certain amount beyond a threshold it tells you the > number is rotated and maybe you tell the user (if an app) that they need to > wait for numbers to fully rotate. > > Manual fallback is always worth considering. E.g. card.io and Apple Pay > scan the card BUT always offer the user the ability to modify just in case. > Don't really 100% on OCR. > > Dirt/grease/moisture that affects the number area will also be hard to > tackle in all cases. Some cases will probably be solvable with some image > processing techniques but you can never say for sure what you're going to > get in the field hence manual input always worth having. > > Cheers > > On 21 July 2015 at 07:40, Marc Bruins <[email protected] <javascript:>> > wrote: > >> Hello all, >> >> I was wondering if it was possible to scan the cubical meters and the >> liters on a water meter. >> >> There are a lot of circumstances possible where it is harder to scan the >> image which are >> >> - The reflection of the camera on the glass >> - Numbers can be half way down or up >> - Most of the time these meters are found in very dark places >> - It happens a lot that there is moist under the glass >> - There are different fonts and sizes >> >> The meter which im talking about is this: >> >> <https://www.dwrcymru.com/eng/forms/meterreading/_images/meter.gif> >> >> So my question, is it even possible? If so what would you guys recommend >> to create a good OCR for this (Which steps do i need to take?). >> >> Kind regards, >> >> Wickpick >> >> -- >> You received this message because you are subscribed to the Google Groups >> "tesseract-ocr" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> To post to this group, send email to [email protected] >> <javascript:>. >> Visit this group at http://groups.google.com/group/tesseract-ocr. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/tesseract-ocr/8c39934a-2c3c-4d3e-8355-466bf11eeec9%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/8c39934a-2c3c-4d3e-8355-466bf11eeec9%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/3e4581cc-0e12-4190-81ee-02a3c14a784f%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
