Here is the binary image of the Canny filtered image. (Gaussian Blur 7x7)
I just need the License plate or any other text if present in the background.
How do I remove the background noise? How do I proceed with the text localization?
Thank you.
1st locate the licence plate than proceed with text binarization/recognition. To locate the licence plate you could scan the image with horiz line to detect typical text profile (variation at high frequency).
You could check also:
@pklab I'm trying to implement Stroke Width Transform to enhance text detection. I'm stuck at finding gradient(perpendicular) direction at each pixel. The approach I have in mind is to find the next connected pixel and find slope of it, then draw a perpendicular using the inverse slope. Please let me know if there is any other approach to find gradient direction of a pixel or how do I solve my method? I'd really be grateful and thank you in advance.
Without effort, with search engines you will find:
You can use ready solution:
Recognize license plates from many countries in real time without triggers. Work with different sources: IP cameras, WEB cameras, analog cameras connected through video cards, video files (AVI, MP4) and photos. Control devices (barriers, lights, etc.). Send emails and display alarms in user screen on events. Communicate with GSM device. Send data with POST or GET commands to your web server. Has it‘s own web client server. Much more.
Asked: 2016-01-13 13:00:46 -0600
Seen: 1,140 times
Last updated: Jan 20 '16
