(For USM Staff/Student Only)

EngLib USM > Ω School of Electrical & Electronic Engineering >

Automatic number plate recognition by using matlab

Automatic number plate recognition by using matlab / Vignes Kumaran
Lazimnya, sistem pengawasan digunakan untuk sistem pemantauan dan sistem keselamatan. Sistem pengawasan ini digunakan untuk keselamatan rumah, pemantauan lalu lintas dan keselamatan ATM. Pengesanan dan pengesanan aktiviti manusia meningkat secara praktikal kerana penurunan dalam kos kamera pengawasan video. Selain itu, sistem automatik telah direka untuk pelbagai tugas pengesanan, tetapi tugas mengesan kenderaan yang diletak secara haram telah diserahkan untuk pengendali sistem pengawasan yang menggunakan tenaga manusia. Sistem Pengesan Nombor Kenderaan Secara Automatik (ANPR) adalah teknologi pemprosesan imej yang mengenal pasti kenderaan dengan mengesan nombor pendaftaran kereta tanpa penglibatan manusia secara langsung dan ia digunakan secara meluas dalam Sistem Pengangkutan Pintar (ITS). Dalam projek ini, pengekstrakan dan pengesanan nombor kenderaan daripada gambar dilakukan dengan menggunakan MATLAB. Gambar kenderaan diambil dengan menggunakan kamera dan gambar tersebut dihantar ke MATLAB dengan menggunakan Raspberry Pi 3. Selain itu, projek ini membentangkan pendekatan berdasarkan operasi morfologi dan kaedah pengesanan Sobel. Kemudian, pendekatan itu dipermudahkan dengan membahagikan semua aksara dalam plat nombor dengan menggunakan kaedah kotak terikat. Watak bersegmen pada plat telah diekstrak dan dikesan dengan menggunakan imej template watak abjad dan angka. Selain itu, algoritma baru dalam MATLAB telah digunakan untuk mengesan nombor pendaftaran kenderaan dalam pelbagai keadaan pencahayaan. Sistem ini dapat mengesan plat nombor kenderaan pada kadar kejayaan 95%. _______________________________________________________________________________________________________ Usually, surveillance system is used for security purposes and monitoring systems. This surveillance system is also used for home security, traffic monitoring and at ATM security. Human activity detection and tracking has increased in usage due to decreasing cost of video surveillance camera. Moreover, automated systems had been designed for numerous detection tasks, but the task of detecting illegally parked vehicles has been left for human operators of surveillance system. Automatic Number Plate Recognition (ANPR) system is an image processing technology that identifies the vehicle by tracking its number plate without direct human involvement and it is widely used in Intelligent Transportation System (ITS). In this project, extraction and recognition of vehicle number plate from an image is done by using MATLAB. The image of the vehicle is captured by using camera and the image is sent to MATLAB by using Raspberry Pi 3. Besides, this project presents an approach based on morphological operation and Sobel edge detection method. Then, the approach is simplified to segmentation of all the characters in the number plate by using bounding box method. The segmented character on the plate has been extracted and recognized by using template images of alphanumeric character. Furthermore, new algorithm in MATLAB has been used to extract the vehicle number plate in various luminance condition. The system able to detect vehicle number plate at 95% success rate.
Contributor(s):
Vignes Kumaran - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875007718
Language:
English
Subject Keywords:
surveillance system; security purposes; monitoring systems
First presented to the public:
6/1/2018
Original Publication Date:
8/10/2018
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 77
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2018-08-14 15:08:14.696
Date Last Updated
2019-01-07 11:24:32.9118
Submitter:
Mohd Jasnizam Mohd Salleh

All Versions

Thumbnail Name Version Created Date
Automatic number plate recognition by using matlab1 2018-08-14 15:08:14.696