Malaysian license plate number extraction using character segmentation / Zainab Zakaria
Car License Plate Recognition (CLPR) method is a key too many traffic oriented applications such as traffic monitoring, border monitoring and in toll areas. Car License Plate Recognition (CLPR) consists of three phases: license plate detection, character segmentation and character recognition. Ja...
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| Format: | Thesis |
| Language: | English |
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Faculty of Computer and Mathematical Sciences
2007
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| Online Access: | http://ir.uitm.edu.my/id/eprint/1014/ http://ir.uitm.edu.my/id/eprint/1014/2/TB_ZAINAB%20ZAKARIA%20CS%2007_5%20P01.pdf |
| Summary: | Car License Plate Recognition (CLPR) method is a key too many traffic oriented
applications such as traffic monitoring, border monitoring and in toll areas. Car License
Plate Recognition (CLPR) consists of three phases: license plate detection, character
segmentation and character recognition. Jabatan Pengangkutan Jalan (JPJ) has a problem
to detect a non-standardized Malaysian license plate number. This project proposes to
extract static image of "PUTRAJAYA" Malaysian license plate number using character
segmentation. The segmentation process will divided into vertical segmentation and
horizontal segmentation. This application will produce the individual character.
Character segmentation is an important step in Car License Plate Recognition (CLPR).
There are many dif-faculties in this step, such as the influence of image noise, plate
frame, rivet, the space mark and so on. |
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