Automatic number plate recognition by using matlab
Loading...
Date
2018-06
Authors
Vignes Kumaran
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Usually, surveillance system is used for security purposes and monitoring systems. This
surveillance system is also used for home security, traffic monitoring and at ATM
security. Human activity detection and tracking has increased in usage due to decreasing
cost of video surveillance camera. Moreover, automated systems had been designed for
numerous detection tasks, but the task of detecting illegally parked vehicles has been left
for human operators of surveillance system. Automatic Number Plate Recognition
(ANPR) system is an image processing technology that identifies the vehicle by tracking
its number plate without direct human involvement and it is widely used in Intelligent
Transportation System (ITS). In this project, extraction and recognition of vehicle number
plate from an image is done by using MATLAB. The image of the vehicle is captured by
using camera and the image is sent to MATLAB by using Raspberry Pi 3. Besides, this
project presents an approach based on morphological operation and Sobel edge detection
method. Then, the approach is simplified to segmentation of all the characters in the
number plate by using bounding box method. The segmented character on the plate has
been extracted and recognized by using template images of alphanumeric character.
Furthermore, new algorithm in MATLAB has been used to extract the vehicle number
plate in various luminance condition. The system able to detect vehicle number plate at
95% success rate.