Development of Car Plate Number Recognition using Image Processing and Database System for Domestic Car Park Application
Atzroulnizam Abu1, Ahmad Zawawi Jamaluddin2, Muhamad Fadli Ghani3, Mohd Saidi Hanaffi4
1Atzroulnizam Abu, Marine Engineering and Electrical Technology, Universiti Kuala Lumpur/ Malaysian Institute of Marine Engineering Technology/ Perak, Malaysia.
2Ahmad Zawawi Jamaluddin, Marine Engineering and Electrical Technology, Universiti Kuala Lumpur/ Malaysian Institute of Marine Engineering Technology/ Perak, Malaysia.
3Muhamad Fadli Ghani, Marine Engineering and Electrical Technology, Universiti Kuala Lumpur/ Malaysian Institute of Marine Engineering Technology/ Perak, Malaysia.
4Mohd Saidi Hanaffi, Marine Engineering and Electrical Technology, Universiti Kuala Lumpur/ Malaysian Institute of Marine Engineering Technology/ Perak, Malaysia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5630-5635 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39861081219/2019©BEIESP | DOI:10.35940/ijitee.L3986.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Abstract: Nowadays, parking is one of the problems that should be considered when planning a transportation improvement in a city. The development of car plate recognition is implementing the new technology of image processing in a parking management system, which it called Automatic License Plate Recognition to the civilians of Malaysia. The system is providing more efficient and effective parking enforcement. The process method aims to resolve the image segmentation and character recognition problems and standardise car license plate. Work focuses on designing a system that uses dynamically generated database system to identify the owner of the car using a template matching recognition technique which includes sensitivity to noise and style variations and inability to handle rotated characters.
Index Terms: Character Extraction, Character Mending, Image Processing, Pattern Recognition, PlateLocalization.
Scope of the Article: Pattern Recognition