An Integrated System to Identify and Recognize Vehicle Number Plate
| dc.contributor.author | Kumar, Ishan | |
| dc.contributor.supervisor | Kumar, Rajiv | |
| dc.date.accessioned | 2013-08-16T11:47:53Z | |
| dc.date.available | 2013-08-16T11:47:53Z | |
| dc.date.issued | 2013-08-16T11:47:53Z | |
| dc.description | MT, SMCA | en |
| dc.description.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. | en |
| dc.format.extent | 1710726 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/10266/2303 | |
| dc.language.iso | en | en |
| dc.subject | OCR, Number Plate | en |
| dc.subject | Area Detection | en |
| dc.title | An Integrated System to Identify and Recognize Vehicle Number Plate | en |
| dc.type | Thesis | en |
