Best method to recognize currency notes [closed]
Hi,
I am quite new to OpenCV therefore excuse me if I ask silly questions.
I am working on an android project to recognize currency notes to help blind people. I have been using Cascade Classifiers.
It did not give me good results ( maybe something wrong with the negative samples I used )
Then I used ORB algorithm. Here I managed to do a feature matching and recognize the currency note, the issue is there are very high number of false positives. I also read I could use SURF( I did not try it yet). This is a research project, therefore I think I can use SURF but it is also an improved version of SURF and it uses just one image for the matching. That way there could be multiple errors compared to a model trained.
If someone has done this successfully before please let me know, I would like to know the best way to do this and pivot my research and implementation to one method.
none of your attempts will lead to something reliable there. (cascade classifiers can only detect a single object type, and feature matching is not meant to be used for classification)
you probably should try to seperate the bill detection from the classification problem, like:
I am sorry for the delayed reply, somehow I did not get a notification on this reply to my mail. :(
Using machine learning independently? like using image's other features and trying to build a model?
Did you have any success? i am doing the same project for the blind people in my country so if you could share the code i will appreciate it very much