Automatic Number Plate Recognition System

An automatic License Plate Recognition system is a real-time embedded system that automatically recognizes the license plate of vehicles. Through the use of high-speed image capture with supporting illumination, detection of characters within the images provided, verification of the character sequences as being those from a vehicle license plate, and character recognition to convert image to text; so ending up with a set of metadata that identifies an image containing a vehicle license plate and the associated decoded text of that plate.

Project Highlight

The main focus of this research project is to experiment deeply with and find alternative solutions to the image segmentation and character recognition problems within the License Plate Recognition framework. Three main stages are identified in such applications.

First, it is necessary to locate and extract the license plate region from a larger scene image.

Second, having a license plate region to work with, the alphanumeric characters in the plate need to be extracted from the background.

Third, deliver them to an OCR system for recognition. In order to identify a vehicle by reading its license plate successfully, it is obviously necessary to locate the plate in the scene image provided by some acquisition system (e.g. video or still camera).

Specification

Classification with different blob color for representation

Vehicle Counting with Classification

Counting output will be shown on screen

Basic GUI to select file and video preview of detection and counting

Choosing category for counting

GUI enabling selection of points to enable drawing line

Timestamp of vehicle counting

How we provide the solution ?

We have designed and developed high-quality recognition software for the automatic recognition of vehicle license plates. We market our number plate recognition software as a number plate recognition engine along with a software development kit (SDK).

License Plate Detection: This is the first and probably the most important stage of the system. It is at this stage that the position of the license plate is determined. The input at this stage is an image of the vehicle and the output is the license plate.

Character Segmentation: It’s at this stage the characters on the license plate are mapped out and segmented into individual images.

Character Recognition: This is where we wrap things up. The characters earlier segmented are identified here. We’ll be using machine learning for this.