Delhi Call Girls In Atta Market 9711199012 Book Your One night Stand Call Girls
finalppt-180713175108-converted.pptx
1. Introduction
Vehicle licence plate recognition involves identifying vehicle
by their licence plates.
It has become a task of prime importance with the increasing
In number of accident and traffic-rule violation.
A vehicle registration plate is metal are plastic plate
attached to a motor vehicle for official identification purpose
The registration number is a is numeric or an alpha numeric
code the unique identify the vehicle with in the issuing
regions database
2. Platform details
The platform we used here is MATLAB.
Matlab is a modern programming language environment.
The research work has been developed using the image
processing functionalities of the MATLAB platform.
The matlab version used here is ‘R2017b’ for developing
different modules.
MATLAB is used to solve technical computing problems
faster than traditional programming languages such as
C,C++ etc.
3. Project objective
• identification of stolen cars
• Smuggling of cars
• Invalid license plates
• Toll collection
• Application in authentication of car for the security purpose
4. Some important tasks
• Image capture
• Image pre-processing
• Character segmentation
• Character recognition
6. Work flow
Image was taken from real environment
Process digital images of license plates using existing techniques.
Techniques will perform alpha numeric conversions on the captured license
plate images into text entries.
System would check the extracted entries against a database in real time.
The entire system is implemented in MATLAB is used for detection and
recognition.
7. Pre-Processing
Pre-processing is very important for the good performance of character
segmentation.
Pre-processing consist of several stages.
• Resizing of an image.
• Rgb2gray.
• Median filtering.
• Dilation.
• Erosion.
• Morphological processing.
• Edge brightening.
• Thinning of image.
• Selection of region.
8. Character segmentation
Pre-processing Horizontal and vertical
segmentation
• In this stage we take the pre processed image as input
and we segment it by various methods.
• In this project we considered the bounding boxes
example by using connected components methods.
9. Horizontal and vertical segmentation
• Detect the horizontal lines in the image with a pixel
value of zero
• Converting the image into binary
• Use the simple “for loops” to detect the portions of the
image
• That had connected objects with a pixel value of ‘0’
and hence accordingly, the image was read.
12. Results
In the output we will be getting a result of characters of
the number plate in a notepad.
We can also create a database for the number plates
and can identify the plates/owner of the plates.
13. In case of video processing, we are dividing the
video into several number of frames.
In which we are choosing the best frames randomly
and we are processing the it as an image.
15. Conclusion & Future scope
1. The car number plate recognition using Matlab image
processing and video processing is presented . The
system use image processing techniques for the
identifying the vehicle from the database stored in the
computer . The system is implemented in Mat lab .
2. Can be improved to work for image taken at night time
3. Multiple matches & overlapping should be avoided.
4. Linking the video & image can be implemented by the
training method.
