IIUM Repository

Automatic car identification system

Khalifa, Othman Omran and Balfaqih, Mohammed and Saad Osman, Bashir and Albagul, Abdulgani (2012) Automatic car identification system. In: Proceedings of the 2nd International Conference on Mathematical Applications in Engineering (ICMAE2012) , 3-5 July, 2012, Kuala Lumpur.

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Automatic car identification is very useful in traffic monitoring and control access applications that make it become relevant in recent years as a result of increased security awareness. Several computer systems were proposed to identify cars via different features such car plate recognition, car front view features, etc. Vision based car Make and Model Recognition (MMR) can overcome some limitations of the other methods and provides additional security to License Plate Recognition systems. Unfortunately, there is no reliable method based on MMR for side view features. This paper proposes an automatic car identification system via Make and Model Recognition (MMR) based on template matching method. The proposed system consists of three main components which are: car detection, car segmentation, and template matching. The main advantage of this method over conventional car recognition systems -typically based on license plate recognition systems- comes from using make and model car that can’t be easily changed. The system was tested using Matlab where it identified 38 cars out of 40 cars. The accuracy of our system is about 95%.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4119/24788
Uncontrolled Keywords: Make and Model Recognition (MMR), side view, template maching
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 22 Nov 2012 14:54
Last Modified: 22 Nov 2012 14:54
URI: http://irep.iium.edu.my/id/eprint/24788

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