Home > Back-end > Using opencv template matching recognition rate is too low: are there any other ideas??????
Using opencv template matching recognition rate is too low: are there any other ideas??????
Time:09-17
Picture is such, a total of four of the key direction of the picture inside of the nine key more or less have some different, that is a different size, I use the method of template matching (matchTemplate) to a fixed template figure to match though can match the key just slightly change to identify the direction is wrong,,,,,,,,
In addition to the template matching method to still have what good method can let me identify the direction of these keys??????
Using the opencv 3.2
CodePudding user response:
This seems very simple, horizontal vertical count classification can be realized, need not the too complicated
CodePudding user response:
The match should be not so bad as you say, don't know whether your judgment logic has a problem? When there is a match degree
CodePudding user response:
Not necessarily fixed 9 key, sometimes is 3 4 keys such as this
This is my judgment logic
This is a graph template I opencv novice hope no other comment