Image recognition technique of road tax sticker in Malaysia
Plate Recognition became significant in daily life because of the unlimited increase of transportation systems which make it impossible to be fully managed and monitored by humans, examples are so many like traffic monitoring, tracking stolen cars, managing parking toll, red-light violation enf...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/30807/ http://irep.iium.edu.my/30807/ http://irep.iium.edu.my/30807/ http://irep.iium.edu.my/30807/1/06516388.pdf |
| Summary: | Plate Recognition became significant in daily life
because of the unlimited increase of transportation systems
which make it impossible to be fully managed and monitored
by humans, examples are so many like traffic monitoring,
tracking stolen cars, managing parking toll, red-light
violation enforcement, border, toll gates and customs check
points. This paper will propose a new image recognition
technique for inspecting the validity of car Road Tax
information in Malaysia based on Neural Network. The
development of vehicle Road Tax Recognition (RTR) System
will result in greater efficiency for vehicle monitoring system at Toll Gates in Malaysia. In Malaysia, the usage of
recognition system is limited to the vehicle plates. It means that the system is unable to detect Road Tax stickers.
Therefore, The Implementing of the Image Recognition of
The Road Tax and Monitoring the License Plate Number
Identification system helps to automatically detect the Road
Tax sticker information and plate number. Previously, the
police used to observe the expiry date of the Road Tax sticker and matched it with the car plate number manually. So this paper aimed to propose a technique to monitor the vehicle by automatically capturing and extracting the Road Tax sticker image. |
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