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dc.contributor.authorSiti Marhainis, Othman
dc.contributor.authorFahisal, Abdullah
dc.contributor.authorLokman Alhakim, Haji Anuas
dc.date.accessioned2012-08-03T09:05:21Z
dc.date.available2012-08-03T09:05:21Z
dc.date.issued2012-02-27
dc.identifier.citationp. 1-3en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20577
dc.descriptionInternational Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.en_US
dc.description.abstractThe growth of technology requested higher performance tools in order to fulfill human needs and market. This system is implemented to make human work easier besides can reduce the usage of human power and because of its potential application. The development of automatic car license plate recognition system will resulted greater efficiency for vehicle monitoring system. Car plate recognition systems are used commercially, both in overseas and locally. In Malaysia, however the usage of car plate recognition system is restricted to the ordinary car plates. Therefore, this system is aimed for implementation of a recognition system for Malaysian car plates. This system is implementing by using MATLAB 7.9 Image Processing Toolbox. In this project, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates based on image processing, feature extraction and neural networks. The image of a car will be taken and then it will start from the image preprocessing. After finish the preprocessing the information of the character in the will be extract. The information get is used as input to the neural network and the system start to classified the data.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectLicense plate recognitionen_US
dc.subjectImage processingen_US
dc.subjectFeature extractionen_US
dc.subjectNeural networken_US
dc.titleMalaysian license plate recognition systemen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlmarhainis@unimap.edu.myen_US


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