Automatic number plate detection has many
applications. It is the fundamental, extensively used, human readable,
imperative identifier of automobile. 1
Some applications of number plate detection are as
In parking, number plate detection is mainly used
for security. As parking management, forbearance of car theft, juggle by
changing ticket, to direct vehicle location etc. 1. Help to manage the
demeanor information of car park. 2.
Access control is a system that performs
authorization identification through biometric scans, PINs, electronic key etc.
Number plate detection provides automation in management of vehicle access
control, security facilitation for data analysis and data mining. 1.
Road tolling is to pay for using the road
infrastructure for the improvement of the highway road or service quality. Road
tolling is fully depends on number plate detection. It minimizing fraud like
nonpayment, deduct gut. 1.
Border control is the effort to set up countries
against terrorism and any kind of illegal actions. Number plate detection helps
in border controlling. It recognizes and stores all the entry and exit or
suspicious passing vehicles number plate in database to prevent terrorism. 1.
Journey time measurement helps us to perceiving
traffic and finds illustrious situations. Number plate detection recognize the
number plate of the vehicles and store that on database. From the stored information
controller can detect the traffic peak hours and increase security on that
Number plate detection helps us in introducing law
motives. Number plate detection used in stolen car detection, traffic signal
control and in others traffic control laws. 1.
This proposed work has three steps:
1. Vehicle number plate
2. Character segmentation
3. Optical character recognition (OCR) 3
Data extraction from the image is the
motive of edge detection. Edge detection enact on the area of number plate.
Canny edge detection algorithm is better than other edge detection method.
Canny edge detection result is more perfect.
The extracted number plate pre processed
and the result is segmented to extract characters from the number plate.
Characters recognized by template
matching in OCR.
Extracted image converted to gray scale
Use morphological operation
Optical character recognition (using
Number plate extraction
image each pixel has three color components red, green and blue in RGB format.
In pre-processing color image is converted
into gray scale image. It divided the image into black and white image then
converted it to pixels according to their spatial resolution.
range of the image represented by 0 (black) 1 (white) factorial values. 3.
detection is to find the boundaries of an image.
edge detection there are many operators Sobel, Canny, log, Prewitt.
operator is an optimal edge detector.
gray scale image as input and give output showing the predominance of clemency.