Please use this identifier to cite or link to this item:
http://hdl.handle.net/10266/2303
Title: | An Integrated System to Identify and Recognize Vehicle Number Plate |
Authors: | Kumar, Ishan |
Supervisor: | Kumar, Rajiv |
Keywords: | OCR, Number Plate;Area Detection |
Issue Date: | 16-Aug-2013 |
Abstract: | Intelligence Surveillance is an important part of the today’s world in the traffic based systems. Vehicle Number Plate Recognition is a challenging area of research in machine vision and artificial intelligence. These intelligent systems may help in traffic monitoring during rush hours, road safety and commercial applications like car parking. This work includes mathematical principles and algorithms, which ensure a process of number plate detection, process of proper characters segmentation, normalization and recognition. Work also deals with methods like achieving invariance of systems towards image skewness and various light conditions during the capture. |
Description: | MT, SMCA |
URI: | http://hdl.handle.net/10266/2303 |
Appears in Collections: | Masters Theses@SOM |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.