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Detection and recognition of car number plate from video sequence / Choo Kar Soon

Detection and recognition of car number plate from video sequence _Choo Kar Soon_E3_2009_875004536_00003095357_NI
Projek tahun akhir ini bertujuan untuk mengesan kedudukan nombor plat kereta dan mengenali karakter nombor plat daripada gambar atau video secara automatik. Sistem ini merupakan sistem yang agak mencabar kerana terdapat pelbagai format nombor plat kereta di Malaysia. Rekaan yang tepat mesti dilakukan untuk meningkatkan kadar pengesanan dan pengklasifikasian karakter bagi sistem ini. Untuk mendapatkan kedudukan nombor plat, cara yang digunakan adalah dengan mengalisis komponen-komponen yang bersambung. KNN (K-Nearest Neighbors) digunakan sebagai alat untuk mengenali karakter-karakter nombor plat secara automatik. Kadar pencapaian sistem ini dengan pengesanan kedudukan nombor plat kereta dan pengklasifikasian karakter nombor plat yang tepat ialah lebih kurang 74%. Sistem ini dilaporkan berupaya untuk digunakan secara “real time” kerana cara pengesanan kedudukan nombor plat kereta yang tidak rumit bagi pengiraan komputer. Banyak lagi usaha boleh dilakukan untuk meningkatkan lagi pencapaian sistem ini pada masa depan. __________________________________________________________________________________ The goal of this project is to develop a system to localize or detect car number plate location and recognize the detected characters automatically. Car number plate recognition (CNPR) system is a challenging task due to the variety of car number plate format in Malaysia. A proper design has to be carried out in order to achieve high performance rate for this system. For this project, connected component analysis is used to detect or localize the car plate region. For character recognition part, K-Nearest Neighbors (KNN) classifier is designed to handle this task. The performance rate of the overall system is about 74% with all the car plate location is exactly detected, good segmentation of character and correct character recognition. Besides, this system is feasible to run in real time due to the simplicity of detection algorithm. A lot of works need to be done in the future in order to improve the performance rate of the system.
Contributor(s):
Choo, Kar Soon - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875004536
Barcode : 0000309535
Language:
English
Subject Keywords:
develop a system to localize or detect car number plate location and recognize the detected characters automatically.; K-Nearest Neighbors ; good segmentation of character
First presented to the public:
1/4/2009
Original Publication Date:
2/27/2018
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 94
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2018-02-27 15:39:48.762
Date Last Updated
2020-11-17 17:52:14.826
Submitter:
Nor Hayati Ismail

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Detection and recognition of car number plate from video sequence / Choo Kar Soon1 2018-02-27 15:39:48.762
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