Methods to identify licence plates on cars [closed]
Hi all,
I've been checking a fair bit of Opencv code on the Internet. I noticed most of the code will first preprocess the image (e.g. binarize, apply edges filter) before sending to K nearest for character recognition.
Would it be possible to run K nearest to identify the vehicle (ie. trucks) followed by another K nearest for character recognition. Does it make sense?
can it be you're confusing kmeans (cluster to n centers) with knn (k nearest neighbour search / classification) ?
Ah yes I was confused. I'll make the change.
in general, i think, you're on the right path, it just might be easier, to find licence plates instead of cars or trucks first
Ahh i was trying to cut down on the amount of OCR required, if I can recognise trucks first.
sure, that's reasonable, still it's easier to find a rectangular region of a certain size, than detecting if it's a car.
@berak, I am going through CS231n on youtube. I noticed the slides were saying k nearest neighbours are not good for images. FYI.
yea, knn is the most ptimitive classifier. svm , ann might be better