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- W1511453143 abstract "License plate detection and recognition system has been an active research domain inimage processing field. However, these systems are less accurate due to different styles of carplates endorsed and yet there are still unable to reach the high accuracy in recognition. Thus, theaim of this research is to develop an automated method of determining the best recognitionperformance based on Malaysia license plate vehicle registration number. Towards achieving thisaim, a database of characters and license plate image has been created by collecting images fromvarious type of car. The initial pre-processing involves image enhancement, binarization andfollowed by filtering and segmenting license plate. Template matching method is used to recognizethe characters, from A-Y and 0-9, using standard Malaysia license plate font which is Arial. Thereare 100 license plates that contain 693 characters have been tested, and the result shown that92.78% of all characters is correctly recognized. Thus, template matching can be classified as oneof the best algorithm for recognizing Malaysia license plate." @default.
- W1511453143 created "2016-06-24" @default.
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- W1511453143 date "2014-02-28" @default.
- W1511453143 modified "2023-09-26" @default.
- W1511453143 title "The Utilization of Template Matching Method for License Plate Recognition" @default.
- W1511453143 doi "https://doi.org/10.15866/irecos.v9i2.54" @default.
- W1511453143 hasPublicationYear "2014" @default.
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