Embedded car plate image recognition system
This project presents a low cost embedded system license plate recognition system. The system is implemented on a 8051 microcontroller platform and recognize a picture. It consists a camera and Color LCD graphic module. Captured license plate is segmented into individual character by using histogram...
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Universiti Malaysia Perlis
2008
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Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/3239 |
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my.unimap-32392008-11-13T06:30:57Z Embedded car plate image recognition system Moo Wui Hung Zulkifli Husin (Advisor) Imaging systems Image processing Optical pattern recognition License plate detection Detectors This project presents a low cost embedded system license plate recognition system. The system is implemented on a 8051 microcontroller platform and recognize a picture. It consists a camera and Color LCD graphic module. Captured license plate is segmented into individual character by using histogram-based approach. Character recognition is performed using template matching, which mean the segmented individual character will be compared with the character in database. In order to speed up the image processing process, the system do not use complex algorithm such as Neural Network but use a simple algorithm such as template matching. The initial step in the recognition process is obtaining a photo of the vehicle, usually by use of a mounted camera. After this, some type of algorithm must be performed to transform an image to a string consisting of the license plate number. Usually, a general framework is: Pre-processing, Bounding, Character Segmentation, and Character Recognition. The advantages of this system are its mobility. The system is small in size and therefore can bring to anywhere. Besides, low cost also its major advantage, because its use microcontroller and low cost component. 2008-11-13T06:30:57Z 2008-11-13T06:30:57Z 2008-04 Learning Object http://hdl.handle.net/123456789/3239 en Universiti Malaysia Perlis School of Computer and Communication Engineering |
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Imaging systems Image processing Optical pattern recognition License plate detection Detectors |
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Imaging systems Image processing Optical pattern recognition License plate detection Detectors Moo Wui Hung Embedded car plate image recognition system |
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This project presents a low cost embedded system license plate recognition system. The system is implemented on a 8051 microcontroller platform and recognize a picture. It consists a camera and Color LCD graphic module. Captured license plate is segmented into individual character by using histogram-based approach. Character recognition is performed using template matching, which mean the segmented individual character will be compared with the character in database. In order to speed
up the image processing process, the system do not use complex algorithm such as Neural Network but use a simple algorithm such as template matching. The initial step in the recognition process is obtaining a photo of the vehicle, usually by use of a mounted camera. After this, some type of algorithm must be performed to transform an image to a string consisting of the license plate number. Usually, a general framework is: Pre-processing, Bounding, Character Segmentation, and Character Recognition. The advantages of this system are its mobility. The system is small in size and therefore can bring to anywhere. Besides, low cost also its major advantage, because its use microcontroller and low cost component. |
author2 |
Zulkifli Husin (Advisor) |
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Zulkifli Husin (Advisor) Moo Wui Hung |
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Learning Object |
author |
Moo Wui Hung |
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Moo Wui Hung |
title |
Embedded car plate image recognition system |
title_short |
Embedded car plate image recognition system |
title_full |
Embedded car plate image recognition system |
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Embedded car plate image recognition system |
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Embedded car plate image recognition system |
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embedded car plate image recognition system |
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Universiti Malaysia Perlis |
publishDate |
2008 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/3239 |
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1643787779464757248 |
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13.211869 |