Comments (6)
Hello @hollowaykeanho,
OCR of address can never be 100% correct. Maybe in future with machine learning process.
We are working on scan improvement with every release, but to speed up a process, we need more samples to have larger data to work with. More date processed = more accuracy in performing OCR. Very simple.
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Hello @culoi ,
I understand you need more sample to train the algorithm but this is not a simple document where we can forge or make up from. Perhaps contact the government department directly for sourcing some sample cards.
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Hi,
please check if this happens in version v2.8.0, released a few moments ago.
We also added a feature which splits the address into parts: street, ZIP code, city and state.
Best,
Jurica.
from blinkid-ios.
@culoi, you can source some scammers' identification card (real card) through our local country forum Lowyat.net. Example: https://forum.lowyat.net/topic/3561373/all.
DISCLAIMER: I'm not responsible for victims (scammer's IC) that are already made available over the internet nor held liable for any damages in any form caused by such circumstance. The link available here is purely a simple web search and the information is as IT IS. If any legal or authority and investigating parties reach here, please use the link and search for the Lowyat.net topic owner.
from blinkid-ios.
@Cerovec, yes, the problem is still persisting. No observable changes with the existing test cases. For the priority of the UX, the application will ask the user to fill in the address manually instead of using the scanner.
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This issue expands to NRIC full name for Muslims citizen since their name is as long as an address (or longer).
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