Electronics Project:Image segmentation and extraction

Image segmentation and extraction. Used for registration number extraction from number plate image:

The project develops the automatic plate localization component of a Car License Plate Recognition system. The approach concerns stages of preprocessing, edge detection, filtering, detection of the plate's position, slope evaluation, and character segmentation and recognition. Single frame gray-level images are used as the only source of information.

Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. ANPR can be assisted in the detection of stolen vehicles. The detection of stolen vehicles can be done in an efficient manner by using the ANPR systems located in the highways. This paper presents a recognition method in which the vehicle plate image is obtained by the digital cameras and the image is processed to get the number plate information. A rear image of a vehicle is captured and processed using various algorithms. In this context, the number plate area is localized using a novel feature-based number plate localization method which consists of many algorithms. But this project mainly focuses on the two fast algorithms i.e., Edge Finding Method and Window Filtering Method for the better development of the number plate detection system.

The system will read the information pixels of the vehicle and run the recognition process and system will apply error back-propagation algorithm to analyze the vehicle image. Besides analyzing, the images will be enhanced, locating the vehicle plate position and extract the characters from the vehicle plate. The characters will be recognized by using neural network. Then system will try to match the recognized vehicle plate number with the car plate database