Vehicle license plate recognition using GPU Parallel Computing

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

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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.

Item Type: Article
Uncontrolled Keywords: SIFT , NVIDIA , computation , programming, CUDA
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: Noraini
Date Deposited: 29 Jan 2018 15:00
Last Modified: 29 Jan 2018 15:00

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