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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41750Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Amirul Syafiq, Azman | - |
| dc.date.accessioned | 2016-05-30T06:25:55Z | - |
| dc.date.available | 2016-05-30T06:25:55Z | - |
| dc.date.issued | 2015-06 | - |
| dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41750 | - |
| dc.description | Access is limited to UniMAP community. | en_US |
| dc.description.abstract | Optical Character Recognition (OCR) is a program that can analyse printed text and read the text. This car plate reader software will use the OCR to read the text from a car plate image that is capture by using a camera. Car plate reader software is design on Microsoft Visual Basic 10. It will use the Tesseract function of EmguCV to perform the OCR to the car plate image. The car plate reader software can be used in law enforcement, such as to detect stolen car or act as a speed trap to capture the image car plate of a speeding car. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
| dc.subject | Optical Character Recognition (OCR) | en_US |
| dc.subject | Car plate reader software | en_US |
| dc.subject | Car plate | en_US |
| dc.title | Car plate number reader using optical character recognition (OCR) | en_US |
| dc.type | Learning Object | en_US |
| dc.contributor.advisor | Mr Akbah A. Kalifa | en_US |
| dc.publisher.department | School of Computer and Communication Engineering | en_US |
| Appears in Collections: | School of Computer and Communication Engineering (FYP) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Abstract,Acknowledgement.pdf | 169.45 kB | Adobe PDF | View/Open | |
| Introduction.pdf | 199.89 kB | Adobe PDF | View/Open | |
| Literature Review.pdf | 373.3 kB | Adobe PDF | View/Open | |
| Methodology.pdf | 1.56 MB | Adobe PDF | View/Open | |
| Results and Discussion.pdf | 482.67 kB | Adobe PDF | View/Open | |
| Conclusion and Recommendation.pdf | 130.55 kB | Adobe PDF | View/Open | |
| Refference and Appendics.pdf | 146.95 kB | Adobe PDF | View/Open |
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