EDUCATIONs
BTEC Higher National Diploma in Electronics Engineering
BRITISH MALAYSIA INSTITUTE (BMI), Malaysia
Final Project: PC-Based Building Security SystemBEng in Electronics Engineering
University Of Surrey (UniS), United Kingdom
Final Project: RS232 Wireless Unidirectional Computer LinkMEng in Electrical (Electronics – Telecommunications)
Universiti Teknologi Malaysia (UTM), Malaysia
Final Project: Plate recognition for Malaysian vehicles using stroke analysis technique
research interest
My Research includes:
- PC-Based related projects
- Image Processing related topics
- Mathematical Formula Derivation
- PIC-Microcontroller-Microprocessor-Based projects
Publications
Character-based car plate detection and localization
ABSTRACT
In this paper we address the issue of locating non-standard Malaysian car license plate. Instead of searching the region for the plate, we directly locate the alphanumeric characters of the car plate. In this manner, we remove issues such as plate size variations and plates on black colored vehicles. Our main goal is to locate and extract the alphanumeric characters of Malaysian special plates. These special plates do not follow the normal standard car plates' format as they may contain italic, cursive and connected letters, and of different fonts. Using several parameters such as pixel compactness, angles, and projection histogram, we use ruled-based technique to locate and detect these special characters of the car plates. The results have shown that we are able to automatically locate with an accuracy of 95%.
In this paper we address the issue of locating non-standard Malaysian car license plate. Instead of searching the region for the plate, we directly locate the alphanumeric characters of the car plate. In this manner, we remove issues such as plate size variations and plates on black colored vehicles. Our main goal is to locate and extract the alphanumeric characters of Malaysian special plates. These special plates do not follow the normal standard car plates' format as they may contain italic, cursive and connected letters, and of different fonts. Using several parameters such as pixel compactness, angles, and projection histogram, we use ruled-based technique to locate and detect these special characters of the car plates. The results have shown that we are able to automatically locate with an accuracy of 95%.
ABSTRACT
In this paper we address the issue of recognizing nonstandard Malaysian car license plates. These plates contain nonstandard characters such as italic, cursive and connected letters, which most plate recognition systems are unable to recognize. We propose a technique using stroke extraction and analysis to recognize these nonstandard characters. The proposed technique first extracts the contour of the character and then the stroke direction which are used for classification. The advantage of this method is that the system requires no training. From the experiments performed, the method has a correct recognition accuracy of 95% and even works with standard car plates.
WORKING EXPERIENCES
2010: Universiti Teknologi MARA
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