imagen processing
is it possible to recognize the plates of spedding cars whith these libraries?
is it possible to recognize the plates of spedding cars whith these libraries?
It depends on many variables:
Define speeding cars. Depending on the speed of the cars and the characteristics of your camera, the license plate numbers might appear blurred and therefore the recognition impractical.
Is the camera static? For non-static cameras the segmentation of the license plate might be more challenging.
Is there illumination changes? Day/night, clouds passing by, reflections... illumination changes are the nemesis of any automatic computer vision system.
Do you need your system to work in real time? Real-time is always challenging as you can not use time-consuming-highly-accurate methods.
Given the right conditions and using the appropriate recipe of algorithms, OpenCV would help you locate and segment the license plate. Using an OCR library would be helpful for the character recognition, but if you don't have one you can still get OpenCV to do it for you (if you know how).
Hey Martin,
I'm researching about these librarys becayse I got this college project, it don't have to be something complicated.
The camera whould be static. For the purposes of this project the weather conditions wouldn't be important, but maybe day/night conditions.
The system will not work in real life, but I need to proof that I can get the license plates of the cars.
My research had change a bit, and now I won't require speedy cars, but catch the plates at a speed between 12mph and 22mph.
As this project is not going to be use I will not use a powerful camera.
Do you think that I can achieve these tasks with OpenCV, or would I need some other library? I've seen other librarys like GOCR.
Hi Kuki, yes, OpenCV can do what you want, but it will take you some work :) I would recommend you to use OpenCV to locate and segment the license plate, and a specialized library for OCR (although with enough effort you can get OpenCV to do it too)
Asked: 2014-03-24 13:36:16 -0600
Seen: 493 times
Last updated: Mar 24 '14
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