Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41826
Title: Development of car plate recognition using using image processing and artifial intelligent algorithm
Authors: Muhammad Syafiq, Mohd Sharif
Zulkifli Husin
Keywords: Image processing
Car plate recognition
Detectors
Artificial intelligent
Car plate
Issue Date: Jun-2015
Publisher: Universiti Malaysia Perlis (UniMAP)
Abstract: Car plate recognition is one of the most important aspects of applying computer techniques towards transportation systems. In recognizing a car plate efficiently, the location of the car plate must be detected in the first place. Due to that reason, detecting the accurate location of a car plate from a vehicle image is a priority. After the car plate is been detected, character on car plate should been recognise. The development of this project is done by using MATLAB software as stimulator of character recognition systems. In this project, the Intelligent Template Matching (ITM) methods have been used to recognise character. The design was include training supervisor that trains the ITM to recognise 50 predefined characters. In addition, training supervisor will also read user’s input, then it will sent the input to the ITM for processing. After that, it will read the ITM’s output and interpret the output from ITM. However, there are slightly error in this project, where ITM fails in properly recognise several characters patterns. In overall, this project shows the ability and endless possibilities based on implementation ITM, and the possibility of developing car plate recognition system using ITM method.
Description: Access is limited to UniMAP community.
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41826
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf124.04 kBAdobe PDFView/Open
Introduction.pdf102.64 kBAdobe PDFView/Open
Literature Review.pdf216.63 kBAdobe PDFView/Open
Methodology.pdf255.73 kBAdobe PDFView/Open
Results and Discussion.pdf417.29 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf97.05 kBAdobe PDFView/Open
Refference and Appendics.pdf107.81 kBAdobe PDFView/Open


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