Vehicle license plate recognition using GPU Parallel Computing
This work is based on the recognition of vehicle license plate uses Scale-Invariant Feature Transform or SIFT. Speed and accuracy of the system are analyzed for the system’s effectiveness and accuracy. Parallel computing uses NVIDIA graphics processing unit (GPU) to accelerate computation process w...
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| Format: | Article |
| Language: | English |
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2016
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| Online Access: | https://eprints.ums.edu.my/id/eprint/18491/1/Vehicle%20License%20Plate%20Recognition%20using%20GPU%20Parallel%20Computing.pdf |
| _version_ | 1825713239295524864 |
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| author | Norhafiza Hamzah |
| author_facet | Norhafiza Hamzah |
| author_sort | Norhafiza Hamzah |
| collection | UMS |
| description | This work is based on the recognition of vehicle license plate uses Scale-Invariant Feature Transform or SIFT. Speed and accuracy of the system are analyzed for the system’s effectiveness and accuracy. Parallel computing uses NVIDIA
graphics processing unit (GPU) to accelerate computation process with C++ programming and CUDA along with OpenCV libraries. Results show that the system is accurate for most resolutions, and parallel computing does really speedup the system for up to 6.58x. |
| first_indexed | 2024-03-06T02:53:28Z |
| format | Article |
| id | ums.eprints-18491 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T02:53:28Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ums.eprints-184912018-01-29T15:00:57Z https://eprints.ums.edu.my/id/eprint/18491/ Vehicle license plate recognition using GPU Parallel Computing Norhafiza Hamzah This work is based on the recognition of vehicle license plate uses Scale-Invariant Feature Transform or SIFT. Speed and accuracy of the system are analyzed for the system’s effectiveness and accuracy. Parallel computing uses NVIDIA graphics processing unit (GPU) to accelerate computation process with C++ programming and CUDA along with OpenCV libraries. Results show that the system is accurate for most resolutions, and parallel computing does really speedup the system for up to 6.58x. 2016 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/18491/1/Vehicle%20License%20Plate%20Recognition%20using%20GPU%20Parallel%20Computing.pdf Norhafiza Hamzah (2016) Vehicle license plate recognition using GPU Parallel Computing. Imperial Journal of Interdisciplinary Research (IJIR), 2 (9). pp. 1725-1730. ISSN 2454-1362 |
| spellingShingle | Norhafiza Hamzah Vehicle license plate recognition using GPU Parallel Computing |
| title | Vehicle license plate recognition using GPU Parallel Computing |
| title_full | Vehicle license plate recognition using GPU Parallel Computing |
| title_fullStr | Vehicle license plate recognition using GPU Parallel Computing |
| title_full_unstemmed | Vehicle license plate recognition using GPU Parallel Computing |
| title_short | Vehicle license plate recognition using GPU Parallel Computing |
| title_sort | vehicle license plate recognition using gpu parallel computing |
| url | https://eprints.ums.edu.my/id/eprint/18491/1/Vehicle%20License%20Plate%20Recognition%20using%20GPU%20Parallel%20Computing.pdf |
| work_keys_str_mv | AT norhafizahamzah vehiclelicenseplaterecognitionusinggpuparallelcomputing |