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- Title
License Plate Detection and Recognition for Indonesian Cars.
- Authors
Hidayatullah, Priyanto; Feirizal, Ferry; Permana, Hadi; Mauluddiah, Qori; Dwitama, Andhika
- Abstract
License Plate Recognition (LPR) is an application in the study of Image Processing and Pattern Recognition. Unfortunately, development of LPR is hampered by several technical problems such as specular reflection, blurry image, noises and other disturbing objects. There are a lot of LPR methods available. However, those methods are tested for samples outside Indonesia. In this paper, an LPR method for Indonesian cars is presented. This method consists of two main phases: plate localization and character recognition. Plate localization is performed by combining the modified horizontal edge processing, modified vertical edge processing, region of interest extraction and short object elimination. The character recognition is done by a modified template matching algorithm with some improvements in noise removal. From 80 samples used in the experiments, there are 63 successfully detected plates (78.75%). In the recognition phase, from all detected plates, the average Jacaard similarity index is 85.87% and the average remaining noise is 0.25. These results are considered to be good based on a Likert scale.
- Subjects
PATTERN recognition systems; OPTICAL pattern recognition; AUTOMOBILE license plates; TEMPLATE matching (Digital image processing); NOISE control research
- Publication
International Journal on Electrical Engineering & Informatics, 2016, Vol 8, Issue 2, p331
- ISSN
2085-6830
- Publication type
Article
- DOI
10.15676/ijeei.2016.8.2.7