License plate recognition system
| dc.contributor.author | Adeel Zahid | |
| dc.contributor.author | Hammad Hussain | |
| dc.contributor.author | Tayyab Bashir | |
| dc.contributor.author | Adil Abbas Qazi | |
| dc.date.accessioned | 2014-09-23T16:29:55Z | |
| dc.date.available | 2014-09-23T16:29:55Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Number plate recognition (NPR) is one of the most important applications of applying computer techniques towards intelligent transportation systems (ITS). In order to recognize a number plate efficiently, location and extraction of the number plate is the key step. When the number plate has been extracted from the image, the segmentation and identification phase takes place. We will use a standard image database to train our system; first, the number plate area will be isolated and then Template Matching technique will be applied to recognize the alpha-numeric characters. The images used in our database have been taken in different light conditions. This recognition system can be successfully applied to an array of different purposes; i.e. from multistory car parking facilities to high speed camera operated systems for law enforcement vehicles. A real time working license plate recognition system can not only keep track of the vehicles with their owner/driver credentials, it can help create a safer more organized network of roads and parking facilities for the betterment of our community. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/1278 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management and Technology | en_US |
| dc.subject | BS Thesis | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | License plate recognition system | en_US |
| dc.type | Thesis | en_US |
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