Date of Award
2016
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Character recognition, Character segmentation, Licence Plate Detection, Number plate localization, Template Matching, Vehicle Shape Detection
Supervisor
Imran Ahmad
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Security is extremely concerning point in distinctive applications, and in vehicle identification it is obligatory to raise alert on any suspicious activity. Such models can be utilized as a part of Border Security, Bank Security etc. In order to detect any vehicle we need to extract its features. Machine vision can be used to extract these features. Furthermore, vehicles have some of the features that may not be unique e.g. color, shape etc. Nevertheless, license plate is a unique identity of a vehicle which can identify its owner. Conversely, it can be tampered with and can be transferred to different vehicle easily. Hence we propose a new model which will combine automated license plate detection along with shape of the vehicle for e.g. SUV, Sedan and Hatchback. Finally, we compare our results with the database which has the legitimate features and information of that vehicle and which will automatically, raise an alert if any discrepancy is found.
Recommended Citation
Singh, Iqbal, "Automatic Vehicle Detection and Recognition" (2016). Electronic Theses and Dissertations. 5780.
https://scholar.uwindsor.ca/etd/5780