Automatic car identification system
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...
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| Main Authors: | , , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2012
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| 主題: | |
| 在線閱讀: | http://irep.iium.edu.my/24788/1/2108C.pdf http://irep.iium.edu.my/24788/ http://www.iium.edu.my/icmae/12/ |
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| 機構: | Universiti Islam Antarabangsa Malaysia |
| 語言: | English |
| 總結: | 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%. |
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