In transport information area, in order to improve control system, identifying vehicle plates is very important. For that reason we are focusing on recognizing the vehicle plate from an image. To distinguish one car from others, one should remove all area except the vehicle plate. Due to the extra difficulties, like limited light, distances, moving etc., it can be hard to detect the final vehicle plate. In this work, we have solved the location of vehicle plate at night time, by separating the objects from the background by using morphological processing and analyzing the characteristics of vehicle plates by using removal of noise and mathematical calculations. According to some characteristics of cars and vehicle plates we developed an algorithm to detect the number of final vehicle plate. This algorithm works fine, and the detected result is accurate.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-16482 |
| Date | January 2014 |
| Creators | Xu, Shuiai |
| Publisher | Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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